def test_read_write_event_schedule(self):
action = ['read_email', 'watch_video']
schedule = fnss.deterministic_process_event_schedule(20, 0, 801, 'ms',
self.event_gen,
0.5, action=action)
time, event = schedule[2]
tmp_es_file = path.join(TMP_DIR, 'event-schedule.xml')
fnss.write_event_schedule(schedule, tmp_es_file)
read_schedule = fnss.read_event_schedule(tmp_es_file)
self.assertEqual(len(schedule), len(read_schedule))
read_time, read_event = read_schedule[2]
self.assertEqual(time, read_time)
self.assertEqual(event, read_event)
def test_read_write_event_schedule(self):
action = ['read_email', 'watch_video']
schedule = fnss.deterministic_process_event_schedule(20, 0, 801, 'ms',
self.event_gen,
0.5, action=action)
time, event = schedule[2]
tmp_es_file = path.join(TMP_DIR, 'event-schedule.xml')
fnss.write_event_schedule(schedule, tmp_es_file)
read_schedule = fnss.read_event_schedule(tmp_es_file)
self.assertEqual(len(schedule), len(read_schedule))
read_time, read_event = read_schedule[2]
self.assertEqual(time, read_time)
self.assertEqual(event, read_event)
def test_read_write_event_schedule_special_type(self):
schedule = fnss.EventSchedule()
event = {'tuple_param': (1, 2, 3),
'dict_param': {'a': 1, 'b': 2},
'list_param':[1, 'hello', 0.3]}
schedule.add(1, event)
tmp_es_file = path.join(TMP_DIR, 'event-schedule-special.xml')
fnss.write_event_schedule(schedule, tmp_es_file)
read_schedule = fnss.read_event_schedule(tmp_es_file)
self.assertEqual(len(schedule), len(read_schedule))
_, read_event = read_schedule[0]
self.assertEqual(event, read_event)
self.assertEqual(tuple, type(read_event['tuple_param']))
self.assertEqual(list, type(read_event['list_param']))
self.assertEqual(dict, type(read_event['dict_param']))
self.assertEqual(event['dict_param'], read_event['dict_param'])
self.assertEqual(event['list_param'], read_event['list_param'])
self.assertEqual(event['tuple_param'], read_event['tuple_param'])
def test_read_write_event_schedule_special_type(self):
schedule = fnss.EventSchedule()
event = {'tuple_param': (1, 2, 3),
'dict_param': {'a': 1, 'b': 2},
'list_param':[1, 'hello', 0.3]}
schedule.add(1, event)
tmp_es_file = path.join(TMP_DIR, 'event-schedule-special.xml')
fnss.write_event_schedule(schedule, tmp_es_file)
read_schedule = fnss.read_event_schedule(tmp_es_file)
self.assertEqual(len(schedule), len(read_schedule))
_, read_event = read_schedule[0]
self.assertEqual(event, read_event)
self.assertEqual(tuple, type(read_event['tuple_param']))
self.assertEqual(list, type(read_event['list_param']))
self.assertEqual(dict, type(read_event['dict_param']))
self.assertEqual(event['dict_param'], read_event['dict_param'])
self.assertEqual(event['list_param'], read_event['list_param'])
self.assertEqual(event['tuple_param'], read_event['tuple_param'])
def scenario_simple_test():
"""
Makes simple scenario for test puropses
"""
def gen_event(receivers, contents):
return {'receiver': choice(receivers), 'content': choice(contents)}
contents = {5: [1, 2, 3, 4], 7: [5, 6, 7, 8]}
n_caches = 4
size = 5
topology = fnss.ring_topology(n_caches)
for u in range(n_caches):
v = u + n_caches
topology.add_edge(u, v)
fnss.add_stack(topology, u, 'cache', {'size': size})
if u % 2 == 0:
fnss.add_stack(topology, v, 'receiver', {})
else:
fnss.add_stack(topology, v, 'source', {'contents': contents[v]})
event_schedule = fnss.poisson_process_event_schedule(20, 0, 300, 'ms',
gen_event, [4, 6], range(1, 9))
fnss.write_topology(topology, path.join(scenarios_dir, 'TOPO_TEST.xml'))
fnss.write_event_schedule(event_schedule, path.join(scenarios_dir, 'ES_TEST.xml'))
right_nodes = [
nodes for nodes in node_types if node_types[nodes] == 'right_bell'
]
for node in left_nodes:
fnss.add_application(topology, node, 'receiver', {})
for node in right_nodes:
fnss.add_application(topology, node, 'source', {})
# now create a function that generate events
def rand_request(source_nodes, receiver_nodes):
source = random.choice(source_nodes)
receiver = random.choice(receiver_nodes)
return {'source': source, 'receiver': receiver}
event_schedule = fnss.poisson_process_event_schedule(
avg_interval=50, # 50 ms
t_start=0, # starts at 0
duration=10 * 1000, # 10 sec
t_unit='ms', # milliseconds
event_generator=rand_request, # event gen function
source_nodes=right_nodes, # rand_request argument
receiver_nodes=left_nodes # rand_request argument
)
# Write topology and event schedule to files
fnss.write_topology(topology, 'topology.xml')
fnss.write_event_schedule(event_schedule, 'event_schedule.xml')
def scenario_garr(net_cache=[0.01, 0.05], n_contents=100000, alpha=[0.6, 0.8, 1.0]):
"""
Return a scenario based on GARR topology
Parameters
----------
scenario_id : str
String identifying the scenario (will be in the filename)
net_cache : float
Size of network cache (sum of all caches) normalized by size of content
population
n_contents : int
Size of content population
alpha : float
List of alpha of Zipf content distribution
"""
rate = 12.0
warmup = 9000
duration = 36000
T = 'GARR' # name of the topology
topology = fnss.parse_topology_zoo(path.join(scenarios_dir, 'resources/Garr201201.graphml')).to_undirected()
# sources are nodes representing neighbouring AS's
sources = [0, 2, 3, 5, 13, 16, 23, 24, 25, 27, 51, 52, 54]
# receivers are internal nodes with degree = 1
receivers = [1, 7, 8, 9, 11, 12, 19, 26, 28, 30, 32, 33, 41, 42, 43, 47, 48, 50, 53, 57, 60]
# caches are all remaining nodes --> 27 caches
caches = [n for n in topology.nodes() if n not in receivers + sources]
# set weights and delays on all links
fnss.set_weights_constant(topology, 1.0)
fnss.set_delays_constant(topology, internal_link_delay, 'ms')
# randomly allocate contents to sources
contents = dict([(v, []) for v in sources])
for c in range(1, n_contents + 1):
s = choice(sources)
contents[s].append(c)
for v in sources:
fnss.add_stack(topology, v, 'source', {'contents': contents[v]})
for v in receivers:
fnss.add_stack(topology, v, 'receiver', {})
# label links as internal or external
for u, v in topology.edges():
if u in sources or v in sources:
topology.edge[u][v]['type'] = 'external'
# this prevents sources to be used to route traffic
fnss.set_weights_constant(topology, 1000.0, [(u, v)])
fnss.set_delays_constant(topology, external_link_delay, 'ms',[(u, v)])
else:
topology.edge[u][v]['type'] = 'internal'
for nc in net_cache:
size = (float(nc)*n_contents)/len(caches) # size of a single cache
C = str(nc)
for v in caches:
fnss.add_stack(topology, v, 'cache', {'size': size})
fnss.write_topology(topology, path.join(scenarios_dir, topo_prefix + 'T=%s@C=%s' % (T, C) + '.xml'))
print('[WROTE TOPOLOGY] T: %s, C: %s' % (T, C))
for a in alpha:
event_schedule = gen_req_schedule(receivers, rate, warmup, duration, n_contents, a)
fnss.write_event_schedule(event_schedule, path.join(scenarios_dir, es_prefix + 'T=%s@A=%s' % (T, str(a)) + '.xml'))
print('[WROTE SCHEDULE] T: %s, Alpha: %s, Events: %d' % (T, str(a), len(event_schedule)))
def scenario_tiscali(net_cache=[0.05], n_contents=100000, alpha=[0.6, 0.8, 1.0]):
"""
Return a scenario based on Tiscali topology, parsed from RocketFuel dataset
Parameters
----------
scenario_id : str
String identifying the scenario (will be in the filename)
net_cache : float
Size of network cache (sum of all caches) normalized by size of content
population
n_contents : int
Size of content population
alpha : float
List of alpha of Zipf content distribution
"""
rate = 12.0
warmup = 9000
duration = 36000
T = 'TISCALI' # name of the topology
# 240 nodes in the main component
topology = fnss.parse_rocketfuel_isp_map(path.join(scenarios_dir, 'resources/3257.r0.cch')).to_undirected()
topology = nx.connected_component_subgraphs(topology)[0]
deg = nx.degree(topology)
onedeg = [v for v in topology.nodes() if deg[v] == 1] # they are 80
# we select as caches nodes with highest degrees
# we use as min degree 6 --> 36 nodes
# If we changed min degrees, that would be the number of caches we would have:
# Min degree N caches
# 2 160
# 3 102
# 4 75
# 5 50
# 6 36
# 7 30
# 8 26
# 9 19
# 10 16
# 11 12
# 12 11
# 13 7
# 14 3
# 15 3
# 16 2
caches = [v for v in topology.nodes() if deg[v] >= 6] # 36 nodes
# sources are node with degree 1 whose neighbor has degree at least equal to 5
# we assume that sources are nodes connected to a hub
# they are 44
sources = [v for v in onedeg if deg[list(topology.edge[v].keys())[0]] > 4.5] # they are
# receivers are node with degree 1 whose neighbor has degree at most equal to 4
# we assume that receivers are nodes not well connected to the network
# they are 36
receivers = [v for v in onedeg if deg[list(topology.edge[v].keys())[0]] < 4.5]
# we set router stacks because some strategies will fail if no stacks
# are deployed
routers = [v for v in topology.nodes() if v not in caches + sources + receivers]
# set weights and delays on all links
fnss.set_weights_constant(topology, 1.0)
fnss.set_delays_constant(topology, internal_link_delay, 'ms')
# randomly allocate contents to sources
contents = dict([(v, []) for v in sources])
for c in range(1, n_contents + 1):
s = choice(sources)
contents[s].append(c)
for v in sources:
fnss.add_stack(topology, v, 'source', {'contents': contents[v]})
for v in receivers:
fnss.add_stack(topology, v, 'receiver', {})
for v in routers:
fnss.add_stack(topology, v, 'router', {})
# label links as internal or external
for u, v in topology.edges():
if u in sources or v in sources:
topology.edge[u][v]['type'] = 'external'
# this prevents sources to be used to route traffic
fnss.set_weights_constant(topology, 1000.0, [(u, v)])
fnss.set_delays_constant(topology, external_link_delay, 'ms', [(u, v)])
else:
topology.edge[u][v]['type'] = 'internal'
for nc in net_cache:
size = (float(nc)*n_contents)/len(caches) # size of a single cache
C = str(nc)
for v in caches:
fnss.add_stack(topology, v, 'cache', {'size': size})
fnss.write_topology(topology, path.join(scenarios_dir, topo_prefix + 'T=%s@C=%s' % (T, C) + '.xml'))
print('[WROTE TOPOLOGY] T: %s, C: %s' % (T, C))
for a in alpha:
event_schedule = gen_req_schedule(receivers, rate, warmup, duration, n_contents, a)
fnss.write_event_schedule(event_schedule, path.join(scenarios_dir, es_prefix + 'T=%s@A=%s' % (T, str(a)) + '.xml'))
print('[WROTE SCHEDULE] T: %s, Alpha: %s, Events: %d' % (T, str(a), len(event_schedule)))
def scenario_geant(net_cache=[0.05], n_contents=100000, alpha=[0.6, 0.8, 1.0]):
"""
Return a scenario based on GARR topology
Parameters
----------
scenario_id : str
String identifying the scenario (will be in the filename)
net_cache : float
Size of network cache (sum of all caches) normalized by size of content
population
n_contents : int
Size of content population
alpha : float
List of alpha of Zipf content distribution
"""
rate = 12.0
warmup = 9000
duration = 36000
T = 'GEANT' # name of the topology
# 240 nodes in the main component
topology = fnss.parse_topology_zoo(path.join(scenarios_dir, 'resources/Geant2012.graphml')).to_undirected()
topology = nx.connected_component_subgraphs(topology)[0]
deg = nx.degree(topology)
receivers = [v for v in topology.nodes() if deg[v] == 1] # 8 nodes
caches = [v for v in topology.nodes() if deg[v] > 2] # 19 nodes
# attach sources to topology
source_attachments = [v for v in topology.nodes() if deg[v] == 2] # 13 nodes
sources = []
for v in source_attachments:
u = v + 1000 # node ID of source
topology.add_edge(v, u)
sources.append(u)
routers = [v for v in topology.nodes() if v not in caches + sources + receivers]
# randomly allocate contents to sources
contents = dict([(v, []) for v in sources])
for c in range(1, n_contents + 1):
s = choice(sources)
contents[s].append(c)
for v in sources:
fnss.add_stack(topology, v, 'source', {'contents': contents[v]})
for v in receivers:
fnss.add_stack(topology, v, 'receiver', {})
for v in routers:
fnss.add_stack(topology, v, 'router', {})
# set weights and delays on all links
fnss.set_weights_constant(topology, 1.0)
fnss.set_delays_constant(topology, internal_link_delay, 'ms')
# label links as internal or external
for u, v in topology.edges():
if u in sources or v in sources:
topology.edge[u][v]['type'] = 'external'
# this prevents sources to be used to route traffic
fnss.set_weights_constant(topology, 1000.0, [(u, v)])
fnss.set_delays_constant(topology, external_link_delay, 'ms', [(u, v)])
else:
topology.edge[u][v]['type'] = 'internal'
for nc in net_cache:
size = (float(nc)*n_contents)/len(caches) # size of a single cache
C = str(nc)
for v in caches:
fnss.add_stack(topology, v, 'cache', {'size': size})
fnss.write_topology(topology, path.join(scenarios_dir, topo_prefix + 'T=%s@C=%s' % (T, C) + '.xml'))
print('[WROTE TOPOLOGY] T: %s, C: %s' % (T, C))
for a in alpha:
event_schedule = gen_req_schedule(receivers, rate, warmup, duration, n_contents, a)
fnss.write_event_schedule(event_schedule, path.join(scenarios_dir, es_prefix + 'T=%s@A=%s' % (T, str(a)) + '.xml'))
print('[WROTE SCHEDULE] T: %s, Alpha: %s, Events: %d' % (T, str(a), len(event_schedule)))
links=topology.edges(), # 'links' argument
)
# Now let's create a schedule with link restoration events
# We assume that the duration of a failure is exponentially distributed with
# average 1 minute.
restore_schedule = fnss.EventSchedule(t_start=0, t_unit='min')
for failure_time, event in event_schedule:
link = event['link']
restore_time = failure_time + random.expovariate(1)
restore_schedule.add(time=restore_time,
event={'link': link, 'action': 'up'},
absolute_time=True
)
# Now merge failure and restoration schedules
# After merging events are still chronologically sorted
event_schedule.add_schedule(restore_schedule)
# Note: there are several ways to create this link failure-restoration schedule
# This method has been used to illustrate a variety of functions and methods
# that FNSS provides to manipulate event schedules
# Write topology, event schedule and traffic matrix to files
fnss.write_topology(topology, 'topology.xml')
fnss.write_event_schedule(event_schedule, 'event_schedule.xml')
fnss.write_traffic_matrix(traffic_matrix, 'traffic_matrix.xml')
cloud = [0]
edges = [
nodes for nodes in node_types
if node_types[nodes] == 'switch' and nodes != 0
]
event_schedule_mob = fnss.poisson_process_event_schedule(
avg_interval=5,
t_start=0,
duration=5000,
t_unit='ms',
event_generator=rand_mobility, # event gen function
nodes=drones, # 'nodes' argument
)
event_schedule2 = fnss.poisson_process_event_schedule(
avg_interval=10,
t_start=0,
duration=5000,
t_unit='ms',
event_generator=rand_request, # event gen function
source_nodes=cloud, # rand_request argument
receiver_nodes=drones # rand_request argument
)
# save topology to a file
fnss.write_topology(topology, 'topology.xml')
fnss.write_event_schedule(event_schedule, 'event_schedule.xml')
fnss.write_event_schedule(event_schedule2, 'event_schedule2.xml')
fnss.write_event_schedule(event_schedule_mob, 'event_schedule_mob.xml')
fnss.write_traffic_matrix(traffic_matrix, 'traffic_matrix.xml')
def scenario_single_cache(net_cache=[0.01], n_contents=100000, alpha=[1.0]):
"""
Parameters
----------
scenario_id : str
String identifying the scenario (will be in the filename)
net_cache : float
Size of network cache (sum of all caches) normalized by size of content
population
n_contents : int
Size of content population
alpha : float
List of alpha of Zipf content distribution
"""
rate = 4.0
warmup = 0
duration = 25000
numnodes = 2
T = 'SINGLE_CACHE' # name of the topology
topology = fnss.topologies.simplemodels.line_topology(numnodes)
#topology = fnss.parse_topology_zoo(path.join(scenarios_dir, 'resources/Geant2012.graphml')).to_undirected()
topology = nx.connected_component_subgraphs(topology)[0]
deg = nx.degree(topology)
nodes = topology.nodes()
#receivers = [v for v in topology.nodes() if deg[v] == 1] # 8 nodes
receiver = nodes[0]
#caches = [v for v in topology.nodes() if deg[v] > 2] # 19 nodes
cache = nodes[1]
# attach sources to topology
#source_attachments = [v for v in topology.nodes() if deg[v] == 2] # 13 nodes
source_attachment = cache
#sources = []
#for v in source_attachments:
# u = v + 1000 # node ID of source
# topology.add_edge(v, u)
# sources.append(u)
source = source_attachment + 1000
topology.add_edge(source_attachment, source)
#routers = [v for v in topology.nodes() if v not in caches + sources + receivers]
#router = nodes[1]
# randomly allocate contents to sources
#contents = dict([(v, []) for v in sources])
#for c in range(1, n_contents + 1):
# s = choice(sources)
# contents[s].append(c)
contents = dict([(source, [])])
for c in range(1, n_contents + 1):
contents[source].append(c)
#for v in sources:
# fnss.add_stack(topology, v, 'source', {'contents': contents[v]})
#for v in receivers:
# fnss.add_stack(topology, v, 'receiver', {})
#for v in routers:
# fnss.add_stack(topology, v, 'router', {})
fnss.add_stack(topology, source, 'source', {'contents': contents[source]})
fnss.add_stack(topology, receiver, 'receiver', {})
#fnss.add_stack(topology, router, 'router', {})
# set weights and delays on all links
fnss.set_weights_constant(topology, 1.0)
fnss.set_delays_constant(topology, internal_link_delay, 'ms')
# label links as internal or external
#for u, v in topology.edges():
# if u in sources or v in sources:
# topology.edge[u][v]['type'] = 'external'
# this prevents sources to be used to route traffic
#fnss.set_weights_constant(topology, 1000.0, [(u, v)])
#fnss.set_delays_constant(topology, external_link_delay, 'ms', [(u, v)])
#else:
# topology.edge[u][v]['type'] = 'internal'
topology.edge[source_attachment][source]['type'] = 'external'
fnss.set_weights_constant(topology, 1000.0, [(source_attachment, source)])
fnss.set_delays_constant(topology, external_link_delay, 'ms', [(source_attachment, source)])
topology.edge[receiver][cache]['type'] = 'internal'
#topology.edge[router][cache]['type'] = 'internal'
for nc in net_cache:
#size = (float(nc)*n_contents)/len(caches) # size of a single cache
size = (float(nc)*n_contents)
C = str(nc)
fnss.add_stack(topology, cache, 'cache', {'size': size})
fnss.write_topology(topology, path.join(scenarios_dir, topo_prefix + 'T=%s@C=%s' % (T, C) + '.xml'))
print('[WROTE TOPOLOGY] T: %s, C: %s' % (T, C))
receivers = []
receivers.append(receiver)
for a in alpha:
event_schedule = gen_req_schedule(receivers, rate, warmup, duration, n_contents, a)
fnss.write_event_schedule(event_schedule, path.join(scenarios_dir, es_prefix + 'T=%s@A=%s' % (T, str(a)) + '.xml'))
print('[WROTE SCHEDULE] T: %s, Alpha: %s, Events: %d' % (T, str(a), len(event_schedule)))
def scenario_garr(net_cache=[0.01, 0.05],
n_contents=100000,
alpha=[0.6, 0.8, 1.0]):
"""
Return a scenario based on GARR topology
Parameters
----------
scenario_id : str
String identifying the scenario (will be in the filename)
net_cache : float
Size of network cache (sum of all caches) normalized by size of content
population
n_contents : int
Size of content population
alpha : float
List of alpha of Zipf content distribution
"""
rate = 12.0
warmup = 9000
duration = 36000
T = 'GARR' # name of the topology
topology = fnss.parse_topology_zoo(
path.join(scenarios_dir,
'resources/Garr201201.graphml')).to_undirected()
# sources are nodes representing neighbouring AS's
sources = [0, 2, 3, 5, 13, 16, 23, 24, 25, 27, 51, 52, 54]
# receivers are internal nodes with degree = 1
receivers = [
1, 7, 8, 9, 11, 12, 19, 26, 28, 30, 32, 33, 41, 42, 43, 47, 48, 50, 53,
57, 60
]
# caches are all remaining nodes --> 27 caches
caches = [n for n in topology.nodes() if n not in receivers + sources]
# set weights and delays on all links
fnss.set_weights_constant(topology, 1.0)
fnss.set_delays_constant(topology, internal_link_delay, 'ms')
# randomly allocate contents to sources
contents = dict([(v, []) for v in sources])
for c in range(1, n_contents + 1):
s = choice(sources)
contents[s].append(c)
for v in sources:
fnss.add_stack(topology, v, 'source', {'contents': contents[v]})
for v in receivers:
fnss.add_stack(topology, v, 'receiver', {})
# label links as internal or external
for u, v in topology.edges():
if u in sources or v in sources:
topology.edge[u][v]['type'] = 'external'
# this prevents sources to be used to route traffic
fnss.set_weights_constant(topology, 1000.0, [(u, v)])
fnss.set_delays_constant(topology, external_link_delay, 'ms',
[(u, v)])
else:
topology.edge[u][v]['type'] = 'internal'
for nc in net_cache:
size = (float(nc) * n_contents) / len(caches) # size of a single cache
C = str(nc)
for v in caches:
fnss.add_stack(topology, v, 'cache', {'size': size})
fnss.write_topology(
topology,
path.join(scenarios_dir,
topo_prefix + 'T=%s@C=%s' % (T, C) + '.xml'))
print('[WROTE TOPOLOGY] T: %s, C: %s' % (T, C))
for a in alpha:
event_schedule = gen_req_schedule(receivers, rate, warmup, duration,
n_contents, a)
fnss.write_event_schedule(
event_schedule,
path.join(scenarios_dir,
es_prefix + 'T=%s@A=%s' % (T, str(a)) + '.xml'))
print('[WROTE SCHEDULE] T: %s, Alpha: %s, Events: %d' %
(T, str(a), len(event_schedule)))
def scenario_tiscali(net_cache=[0.05],
n_contents=100000,
alpha=[0.6, 0.8, 1.0]):
"""
Return a scenario based on Tiscali topology, parsed from RocketFuel dataset
Parameters
----------
scenario_id : str
String identifying the scenario (will be in the filename)
net_cache : float
Size of network cache (sum of all caches) normalized by size of content
population
n_contents : int
Size of content population
alpha : float
List of alpha of Zipf content distribution
"""
rate = 12.0
warmup = 9000
duration = 36000
T = 'TISCALI' # name of the topology
# 240 nodes in the main component
topology = fnss.parse_rocketfuel_isp_map(
path.join(scenarios_dir, 'resources/3257.r0.cch')).to_undirected()
topology = list(nx.connected_component_subgraphs(topology))[0]
deg = nx.degree(topology)
onedeg = [v for v in topology.nodes() if deg[v] == 1] # they are 80
# we select as caches nodes with highest degrees
# we use as min degree 6 --> 36 nodes
# If we changed min degrees, that would be the number of caches we would have:
# Min degree N caches
# 2 160
# 3 102
# 4 75
# 5 50
# 6 36
# 7 30
# 8 26
# 9 19
# 10 16
# 11 12
# 12 11
# 13 7
# 14 3
# 15 3
# 16 2
caches = [v for v in topology.nodes() if deg[v] >= 6] # 36 nodes
# sources are node with degree 1 whose neighbor has degree at least equal to 5
# we assume that sources are nodes connected to a hub
# they are 44
sources = [
v for v in onedeg if deg[list(topology.edge[v].keys())[0]] > 4.5
] # they are
# receivers are node with degree 1 whose neighbor has degree at most equal to 4
# we assume that receivers are nodes not well connected to the network
# they are 36
receivers = [
v for v in onedeg if deg[list(topology.edge[v].keys())[0]] < 4.5
]
# we set router stacks because some strategies will fail if no stacks
# are deployed
routers = [
v for v in topology.nodes() if v not in caches + sources + receivers
]
# set weights and delays on all links
fnss.set_weights_constant(topology, 1.0)
fnss.set_delays_constant(topology, internal_link_delay, 'ms')
# randomly allocate contents to sources
contents = dict([(v, []) for v in sources])
for c in range(1, n_contents + 1):
s = choice(sources)
contents[s].append(c)
for v in sources:
fnss.add_stack(topology, v, 'source', {'contents': contents[v]})
for v in receivers:
fnss.add_stack(topology, v, 'receiver', {})
for v in routers:
fnss.add_stack(topology, v, 'router', {})
# label links as internal or external
for u, v in topology.edges():
if u in sources or v in sources:
topology.edge[u][v]['type'] = 'external'
# this prevents sources to be used to route traffic
fnss.set_weights_constant(topology, 1000.0, [(u, v)])
fnss.set_delays_constant(topology, external_link_delay, 'ms',
[(u, v)])
else:
topology.edge[u][v]['type'] = 'internal'
for nc in net_cache:
size = (float(nc) * n_contents) / len(caches) # size of a single cache
C = str(nc)
for v in caches:
fnss.add_stack(topology, v, 'cache', {'size': size})
fnss.write_topology(
topology,
path.join(scenarios_dir,
topo_prefix + 'T=%s@C=%s' % (T, C) + '.xml'))
print('[WROTE TOPOLOGY] T: %s, C: %s' % (T, C))
for a in alpha:
event_schedule = gen_req_schedule(receivers, rate, warmup, duration,
n_contents, a)
fnss.write_event_schedule(
event_schedule,
path.join(scenarios_dir,
es_prefix + 'T=%s@A=%s' % (T, str(a)) + '.xml'))
print('[WROTE SCHEDULE] T: %s, Alpha: %s, Events: %d' %
(T, str(a), len(event_schedule)))
def scenario_geant(net_cache=[0.05], n_contents=100000, alpha=[0.6, 0.8, 1.0]):
"""
Return a scenario based on GARR topology
Parameters
----------
scenario_id : str
String identifying the scenario (will be in the filename)
net_cache : float
Size of network cache (sum of all caches) normalized by size of content
population
n_contents : int
Size of content population
alpha : float
List of alpha of Zipf content distribution
"""
rate = 12.0
warmup = 9000
duration = 36000
T = 'GEANT' # name of the topology
# 240 nodes in the main component
topology = fnss.parse_topology_zoo(
path.join(scenarios_dir,
'resources/Geant2012.graphml')).to_undirected()
topology = list(nx.connected_component_subgraphs(topology))[0]
deg = nx.degree(topology)
receivers = [v for v in topology.nodes() if deg[v] == 1] # 8 nodes
caches = [v for v in topology.nodes() if deg[v] > 2] # 19 nodes
# attach sources to topology
source_attachments = [v for v in topology.nodes()
if deg[v] == 2] # 13 nodes
sources = []
for v in source_attachments:
u = v + 1000 # node ID of source
topology.add_edge(v, u)
sources.append(u)
routers = [
v for v in topology.nodes() if v not in caches + sources + receivers
]
# randomly allocate contents to sources
contents = dict([(v, []) for v in sources])
for c in range(1, n_contents + 1):
s = choice(sources)
contents[s].append(c)
for v in sources:
fnss.add_stack(topology, v, 'source', {'contents': contents[v]})
for v in receivers:
fnss.add_stack(topology, v, 'receiver', {})
for v in routers:
fnss.add_stack(topology, v, 'router', {})
# set weights and delays on all links
fnss.set_weights_constant(topology, 1.0)
fnss.set_delays_constant(topology, internal_link_delay, 'ms')
# label links as internal or external
for u, v in topology.edges():
if u in sources or v in sources:
topology.edge[u][v]['type'] = 'external'
# this prevents sources to be used to route traffic
fnss.set_weights_constant(topology, 1000.0, [(u, v)])
fnss.set_delays_constant(topology, external_link_delay, 'ms',
[(u, v)])
else:
topology.edge[u][v]['type'] = 'internal'
for nc in net_cache:
size = (float(nc) * n_contents) / len(caches) # size of a single cache
C = str(nc)
for v in caches:
fnss.add_stack(topology, v, 'cache', {'size': size})
fnss.write_topology(
topology,
path.join(scenarios_dir,
topo_prefix + 'T=%s@C=%s' % (T, C) + '.xml'))
print('[WROTE TOPOLOGY] T: %s, C: %s' % (T, C))
for a in alpha:
event_schedule = gen_req_schedule(receivers, rate, warmup, duration,
n_contents, a)
fnss.write_event_schedule(
event_schedule,
path.join(scenarios_dir,
es_prefix + 'T=%s@A=%s' % (T, str(a)) + '.xml'))
print('[WROTE SCHEDULE] T: %s, Alpha: %s, Events: %d' %
(T, str(a), len(event_schedule)))
event_schedule = fnss.poisson_process_event_schedule(
avg_interval=0.5, # 0.5 min = 30 sec
t_start=0, # starts at 0
duration=60, # 2 hours
t_unit="min", # minutes
event_generator=rand_failure, # event gen function
links=topology.edges(), # 'links' argument
)
# Now let's create a schedule with link restoration events
# We assume that the duration of a failure is exponentially distributed with
# average 1 minute.
restore_schedule = fnss.EventSchedule(t_start=0, t_unit="min")
for failure_time, event in event_schedule:
link = event["link"]
restore_time = failure_time + random.expovariate(1)
restore_schedule.add(time=restore_time, event={"link": link, "action": "up"}, absolute_time=True)
# Now merge failure and restoration schedules
# After merging events are still chronologically sorted
event_schedule.add_schedule(restore_schedule)
# Note: there are several ways to create this link failure-restoration schedule
# This method has been used to illustrate a variety of functions and methods
# that FNSS provides to manipulate event schedules
# Write topology, event schedule and traffic matrix to files
fnss.write_topology(topology, "topology.xml")
fnss.write_event_schedule(event_schedule, "event_schedule.xml")
fnss.write_traffic_matrix(traffic_matrix, "traffic_matrix.xml")