def create_trace(topof, num_nodes, num_locs=N_LOCATIONS, num_objs=N_OBJECTS,
conflict=CONFLICT, Am=ACCESS_MU, As=ACCESS_SIGMA,
ts=TIMESTEPS):
# Modify parameters
# Disable logging during trace generation
logger = logging.getLogger('cloudscope.simulation')
logger.disabled = True
# Update settings arguments
settings.simulation.conflict_prob = conflict
settings.simulation.access_mean = Am
settings.simulation.access_stddev = As
# Simulation arguments
kwargs = {
'users': num_nodes,
'objects': num_objs,
'max_sim_time': ts,
'trace': None,
}
# Create simulation
simulation = ConsistencySimulation.load(topof, **kwargs)
simulation.trace = None
simulation.script()
workload = simulation.workload
# Create the traces writer and write the traces to disk
writer = TracesWriter(workload, ts)
outpath = os.path.join(TRACES, TRACENAME.format(num_nodes, num_locs))
with open(outpath, 'w') as f:
counts = writer.write(f)
def handle(self, args):
"""
Uses built in workloads and the TracesWriter to generate a trace file.
"""
# Disable logging during trace generation
logger = logging.getLogger('cloudscope.simulation')
logger.disabled = True
# Update settings arguments
settings.simulation.conflict_prob = args.conflict
settings.simulation.access_mean = args.access_mean
settings.simulation.access_stddev = args.access_stddev
# Simulation arguments
kwargs = {
'users': args.users,
'objects': args.objects,
'max_sim_time': args.timesteps,
'trace': None,
}
# Create simulation
simulation = ConsistencySimulation.load(args.data[0], **kwargs)
simulation.trace = None
# Create or select the correct simulation
if args.best_case or args.tiered:
workload = BestCaseAllocation(
simulation,
args.objects,
selection='random',
)
workload.allocate_many(args.users)
elif args.ping_pong:
factory = CharacterSequence(upper=True)
objects = [factory.next() for _ in range(args.objects)]
workload = PingPongWorkload(
simulation,
simulation.replicas[:args.users],
objects=objects,
)
else:
simulation.script()
workload = simulation.workload
# Create the traces writer and write the traces to disk
writer = TracesWriter(workload, args.timesteps)
counts = writer.write(args.output)
return (
"traced {rows:,} accesses on {devices:,} devices over {timesteps:,} timesteps ({realtime})\n"
"object space contains {objects:,} object names:\n"
" {mean_objects_per_device:,} average objects per device | "
"{mean_devices_per_object:,} average devices per object\n"
" {mean_accesses_per_device:,} average accesses per device | "
"{mean_accesses_per_object:,} average accesses per object\n"
"wrote the trace file to {0}").format(args.output.name, **counts)
def handle(self, args):
"""
Uses built in workloads and the TracesWriter to generate a trace file.
"""
# Disable logging during trace generation
logger = logging.getLogger('cloudscope.simulation')
logger.disabled = True
# Update settings arguments
settings.simulation.conflict_prob = args.conflict
settings.simulation.access_mean = args.access_mean
settings.simulation.access_stddev = args.access_stddev
# Simulation arguments
kwargs = {
'users': args.users,
'objects': args.objects,
'max_sim_time': args.timesteps,
'trace': None,
}
# Create simulation
simulation = ConsistencySimulation.load(args.data[0], **kwargs)
simulation.trace = None
# Create or select the correct simulation
if args.best_case or args.tiered:
workload = BestCaseAllocation(
simulation, args.objects, selection='random',
)
workload.allocate_many(args.users)
elif args.ping_pong:
factory = CharacterSequence(upper=True)
objects = [factory.next() for _ in range(args.objects)]
workload = PingPongWorkload(
simulation, simulation.replicas[:args.users], objects=objects,
)
else:
simulation.script()
workload = simulation.workload
# Create the traces writer and write the traces to disk
writer = TracesWriter(workload, args.timesteps)
counts = writer.write(args.output)
return (
"traced {rows:,} accesses on {devices:,} devices over {timesteps:,} timesteps ({realtime})\n"
"object space contains {objects:,} object names:\n"
" {mean_objects_per_device:,} average objects per device | "
"{mean_devices_per_object:,} average devices per object\n"
" {mean_accesses_per_device:,} average accesses per device | "
"{mean_accesses_per_object:,} average accesses per object\n"
"wrote the trace file to {0}"
).format(args.output.name, **counts)
