def Main (args):
show_converge = True
if len(args) != 7:
print >>sys.stderr, "Usage: perturbation.py setup trace stable_time begin_mean_perturb end_mean_perturn step_mean_perturb seed"
else:
topo = open(args[0]).read()
trace = open(args[1]).readlines()
stable = float(args[2])
begin = float(args[3])
end = float(args[4])
step = float(args[5])
seed = int(args[6])
print "Setting %s %s %f %f %f %f %d"%(args[0], args[1], stable, begin, end, step, seed)
for mean in np.arange(begin, end, step):
Singleton.clear()
sim = Simulation()
sim.check_always = False
random.seed(seed)
print "mean_perturb %f"%(mean)
(end_time, new_trace) = TransformTrace(trace, mean, stable)
sim.Setup(topo, new_trace, True)
for time in np.arange(stable, end_time, 0.5 * mean):
sim.scheduleCheck(time)
# Measure latency less often
for time in np.arange(stable, end_time, mean):
for (ha, hb) in permutations(sim.hosts, 2):
sim.scheduleSend(time, ha.name, ha.address, hb.address)
sim.Run()
sim.Report(show_converge)
sim.Clear()
def Main (args):
show_converge = True
if len(args) != 10:
print >>sys.stderr, "Usage: perturbation_extreme.py setup stable_time links_to_fail mean_recovery end_time " + \
" begin_mean_perturb end_mean_perturn step_mean_perturb sampling_rate seed"
else:
topo = open(args[0]).read()
stable = float(args[1])
links_to_fail = int(args[2])
mean_recovery = float(args[3])
end_time = float(args[4])
begin = float(args[5])
end = float(args[6])
step = float(args[7])
sampling_rate = float(args[8])
seed = int(args[9])
print "Setting %s %f %d %f %f %f %f %f %f %d"%(args[0], stable, links_to_fail, mean_recovery, end_time, begin, end,\
step, sampling_rate, seed)
topo_yaml = yaml.load(topo)
# If no fail links then just use links
links = topo_yaml['links']
if 'fail_links' in topo_yaml:
fail_links = topo_yaml['fail_links']
else:
fail_links = links
for mean in np.arange(begin, end, step):
Singleton.clear()
sim = Simulation()
sim.check_always = False
random.seed(seed)
print "mean_perturb %f"%(mean)
print "generating trace"
(end_time, new_trace) = TransformTrace(links, fail_links, links_to_fail, mean, mean_recovery, stable, end_time)
print "done generating trace"
print "TRACE TRACE TRACE"
for t in new_trace:
print t
print "TRACE TRACE TRACE"
sim.Setup(topo, new_trace, False)
for time in np.arange(stable, end_time, sampling_rate):
sim.scheduleCheck(time)
# Measure latency less often
for time in np.arange(stable, end_time, sampling_rate):
for (ha, hb) in permutations(sim.hosts, 2):
sim.scheduleSend(time, ha.name, ha.address, hb.address)
sim.Run()
sim.Report(show_converge)
sim.Clear()
