def setUpClass(cls):
# set up topology used for all traffic matrix tests
cls.G = fnss.glp_topology(n=50, m=1, m0=10, p=0.2, beta=-2, seed=1)
fnss.set_capacities_random(cls.G, {
10: 0.5,
20: 0.3,
40: 0.2
},
capacity_unit='Mbps')
fnss.set_delays_constant(cls.G, 2, delay_unit='ms')
fnss.set_weights_inverse_capacity(cls.G)
for node in [2, 4, 6]:
fnss.add_stack(cls.G, node, 'tcp', {
'protocol': 'cubic',
'rcvwnd': 1024
})
for node in [2, 4]:
fnss.add_application(cls.G, node, 'client', {
'rate': 100,
'user-agent': 'fnss'
})
fnss.add_application(cls.G, 2, 'server', {
'port': 80,
'active': True,
'user-agent': 'fnss'
})
def setUpClass(cls):
# set up topology used for all traffic matrix tests
cls.G = fnss.glp_topology(n=50, m=1, m0=10, p=0.2, beta=-2, seed=1)
fnss.set_capacities_random(cls.G, {10: 0.5, 20: 0.3, 40: 0.2},
capacity_unit='Mbps')
fnss.set_delays_constant(cls.G, 2, delay_unit='ms')
fnss.set_weights_inverse_capacity(cls.G)
for node in [2, 4, 6]:
fnss.add_stack(cls.G, node, 'tcp',
{'protocol': 'cubic', 'rcvwnd': 1024})
for node in [2, 4]:
fnss.add_application(cls.G, node, 'client',
{'rate': 100, 'user-agent': 'fnss'})
fnss.add_application(cls.G, 2, 'server',
{'port': 80, 'active': True, 'user-agent': 'fnss'})
def test_weights_inverse_capacity(self):
fnss.set_weights_inverse_capacity(self.topo)
self.assertTrue(
all(self.topo.adj[u][v]['weight'] in [1, 2]
for (u, v) in self.topo.edges()))
def test_weights_inverse_capacity(self):
fnss.set_weights_inverse_capacity(self.topo)
self.assertTrue(all(self.topo.edge[u][v]['weight'] in [1, 2]
for (u, v) in self.topo.edges_iter()))
"""
import fnss
import random
# Import RocketFuel topology
# Replace the filename with the actual location of the file you want to parse
topology = fnss.parse_rocketfuel_isp_map("rocket-fuel-topo-file.cch")
# add capacities
capacities = [1, 10, 40]
capacity_unit = 'Gbps'
fnss.set_capacities_edge_betweenness(topology, capacities, capacity_unit,
weighted=False)
# add weights proportional to inverse of capacity
fnss.set_weights_inverse_capacity(topology)
# add constant link delays of 2 ms
fnss.set_delays_constant(topology, 2, delay_unit='ms')
# generate cyclostationary traffic matrix (period 7 days, 24 samples per day)
tmc = fnss.sin_cyclostationary_traffic_matrix(
topology,
mean=0.5, # average flow in TM is 0,5 Gbps
stddev=0.05, # this is the std among average flows of different OD pairs
gamma=0.8, # gamma and log_psi are parameters for fitting the std of
log_psi=-0.33, # volume fluctuations over time. Look at Nucci et al. paper
delta=0.2, # traffic variation from period max and avg as fraction of average
n=24, # number of samples per each period
periods=7, # number of periods
max_u=0.9, # max link utilization desired
