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("work/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("work/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("work/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(work_folder): f = open(work_folder + "combo.txt", "r") l = f.readline() l = l.replace("set([", "") l = l.replace("]", "") l = l.replace("'", "") l = l.replace(" ", "") l = l.replace(")", "") new_list = l.split(",") print sorted(new_list) emul_tf = emulated_tf(2, False) # i = 0 # for rtr_name in rtr_names: # f = TF(1) # f.load_object_from_file("work/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, sorted(new_list)) # 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("work/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