def load_stanford_backbone_ntf():
'''
Loads Stanford backbone network transfer functions into an emulated_tf object with 3 layers.
'''
emul_tf = emulated_tf(3)
emul_tf.set_fwd_engine_stage(1)
for rtr_name in rtr_names:
f = TF(1)
f.load_object_from_file("tf_stanford_backbone/%s.tf" % rtr_name)
f.activate_hash_table([15, 14])
emul_tf.append_tf(f)
emul_tf.length = f.length
return emul_tf
def load_stanford_backbone_ntf():
'''
Loads Stanford backbone network transfer functions into an emulated_tf object with 3 layers.
'''
emul_tf = emulated_tf(3)
emul_tf.set_fwd_engine_stage(1)
for rtr_name in rtr_names:
f = TF(1)
f.load_object_from_file("tf_stanford_backbone/%s.tf"%rtr_name)
f.activate_hash_table([15,14])
emul_tf.append_tf(f)
emul_tf.length = f.length
return emul_tf
def load_stanford_ip_fwd_ntf():
'''
Loads IP forwarding part of Stanford backbone network transfer functions into an emulated_tf object with 1 layer.
'''
emul_tf = emulated_tf(1)
emul_tf.set_fwd_engine_stage(0)
emul_tf.output_port_const = 0
for rtr_name in rtr_names:
f = TF(1)
f.load_object_from_file("tf_simple_stanford_backbone/%s.tf" % rtr_name)
#f.activate_hash_table([3,2])
emul_tf.append_tf(f)
emul_tf.length = f.length
return emul_tf
def load_stanford_ip_fwd_ntf():
'''
Loads IP forwarding part of Stanford backbone network transfer functions into an emulated_tf object with 1 layer.
'''
emul_tf = emulated_tf(1)
emul_tf.set_fwd_engine_stage(0)
emul_tf.output_port_const = 0
for rtr_name in rtr_names:
f = TF(1)
f.load_object_from_file("tf_simple_stanford_backbone/%s.tf"%rtr_name)
#f.activate_hash_table([3,2])
emul_tf.append_tf(f)
emul_tf.length = f.length
return emul_tf
def load_replicated_stanford_network(replicate, path):
'''
Load the transfer functions created by generate_augmented_stanford_backbone_tf.py
'''
ttf = TF(1)
ttf.load_object_from_file("%s/backbone_topology.tf" % path)
(name_to_id, id_to_name) = load_port_to_id_map(path)
emul_tf = emulated_tf(3)
for i in range(replicate):
for rtr_name in rtr_names:
f = TF(1)
f.load_object_from_file("%s/%s%d.tf" % (path, rtr_name, i + 1))
#f.activate_hash_table([15,14])
emul_tf.append_tf(f)
f = TF(1)
f.load_object_from_file("%s/root.tf" % (path))
f.activate_hash_table([15, 14])
emul_tf.append_tf(f)
return (emul_tf, ttf, name_to_id, id_to_name)
def load_replicated_stanford_network(replicate,path):
'''
Load the transfer functions created by generate_augmented_stanford_backbone_tf.py
'''
ttf = TF(1)
ttf.load_object_from_file("%s/backbone_topology.tf"%path)
(name_to_id,id_to_name) = load_port_to_id_map(path)
emul_tf = emulated_tf(3)
for i in range(replicate):
for rtr_name in rtr_names:
f = TF(1)
f.load_object_from_file("%s/%s%d.tf"%(path,rtr_name,i+1))
#f.activate_hash_table([15,14])
emul_tf.append_tf(f)
f = TF(1)
f.load_object_from_file("%s/root.tf"%(path))
f.activate_hash_table([15,14])
emul_tf.append_tf(f)
return (emul_tf,ttf,name_to_id,id_to_name)
def load_internet2_backbone_ntf():
emul_tf = emulated_tf(2, False)
# i = 0
# for rtr_name in rtr_names:
# f = TF(1)
# f.load_object_from_file("Internet2/%s.tf"%rtr_name)
# f.activate_hash_table([15,14])
# emul_tf.append_tf(f)
# i = i+1
pool = Pool()
result = pool.map_async(load_ntf, rtr_names)
# Close
pool.close()
pool.join()
tfs = result.get()
for tf in tfs:
emul_tf.append_tf(tf)
return emul_tf
def load_internet2_backbone_ntf():
emul_tf = emulated_tf(2, False)
# i = 0
# for rtr_name in rtr_names:
# f = TF(1)
# f.load_object_from_file("Internet2/%s.tf"%rtr_name)
# f.activate_hash_table([15,14])
# emul_tf.append_tf(f)
# i = i+1
pool = Pool()
result = pool.map_async(load_ntf, rtr_names)
# Close
pool.close()
pool.join()
tfs = result.get()
for tf in tfs:
emul_tf.append_tf(tf)
return emul_tf