def test_arbitrary(self):
topologies = [
1221,
1239,
1755,
3257,
3967,
6461,
]
n_contents = 10000
network_cache = 0.1
hit_ratio = 0.2
results = {
1221: 104.43627218934938,
1239: 129.9188933590089,
3257: 102.65934570425449,
1755: 94.2634958382883,
6461: 168.74678558156853,
3967: 132.65163549797435,
}
for asn in topologies:
# Set up topology
topo = scenarios.topology_rocketfuel_latency(asn, source_ratio=0.1)
scenarios.uniform_cache_placement(topo, n_contents * network_cache)
sources = topo.sources()
receivers = topo.receivers()
req_rates = {v: 1 / len(receivers) for v in receivers}
source_content_ratio = {v: 1 / len(sources) for v in sources}
# Run experiment and validate results
latency = cacheperf.hashrouting_model(topo, "SYMM", hit_ratio,
source_content_ratio,
req_rates)
assert round(abs(results[asn] - latency), 7) == 0
def test_rocketfuel():
t = topology.topology_rocketfuel_latency(1221, 0.1, 20)
assert len(t.receivers()) == len(t.graph["icr_candidates"])
def test_rocketfuel(self):
t = topology.topology_rocketfuel_latency(1221, 0.1, 20)
self.assertEqual(len(t.receivers()), len(t.graph['icr_candidates']))
def test_rocketfuel(self):
t = topology.topology_rocketfuel_latency(1221, 0.1, 20)
self.assertEqual(len(t.receivers()), len(t.graph['icr_candidates']))