"""Example to run a batch of simlations on SHED data.""" __author__ = 'Jarrod Pas <j.pas@usask.ca>' import sys from argparse import ArgumentParser from collections import namedtuple from multiprocessing import Pool from pydtn import Network, RandomTraffic, Node, EpidemicNode from pydtn.community import BubbleKCliqueNode, BubbleLouvainNode from pydtn.community import HCBFKCliqueNode, HCBFLouvainNode from pydtn.shed import ShedTrace Simulation = namedtuple('Simulation', ['trace', 'node_type', 'seed']) def run_simulation(simulation): """Run a simulation.""" seed = simulation.seed trace = ShedTrace(simulation.trace) epoch = 7*24*60*60 # 7 days node_type = simulation.node_type node_options = { 'tick_rate': 5 * 60, # 5 mins 'epoch': epoch, 'k': 3, } nodes = { node_id: simulation.node_type(**node_options) for node_id in range(trace.nodes) } traffic_options = { 'seed': seed, 'start': epoch, 'step': 1 * 60, # 1 packet every 1 mins } traffic = RandomTraffic(nodes, **traffic_options) network = Network(nodes, traffic=traffic, trace=trace) network.run() stats = { 'trace': trace.path, 'node_type': node_type.__name__, 'seed': seed, } stats.update(network.stats_summary) # return stats because we can't pickle the network as it is a generator. return stats def main(args): """Run simulation for each seed in args.""" trace = args['shed'] pool = Pool() simulations = [] node_types = [ Node, EpidemicNode, BubbleKCliqueNode, HCBFKCliqueNode, BubbleLouvainNode, HCBFLouvainNode, ] for seed in args['seeds']: for node_type in node_types: sim = Simulation(trace=trace, node_type=node_type, seed=seed) simulations.append(sim) for stats in pool.imap_unordered(run_simulation, simulations): print(stats) def parse_args(args): """Parse arguments.""" parser = ArgumentParser() parser.add_argument('shed') parser.add_argument('--seeds', '-s', metavar='SEED', type=int, nargs='+', default=[None]) args = parser.parse_args(args) return vars(args) if __name__ == '__main__': exit(main(parse_args(sys.argv[1:])))