cost1 = []
cost2 = []
for group in utils.listGroups():
for fn in utils.listGroupInstances(group):
print(fn)
topology = fn.split('.')[0]
data = utils.read_data(group, 'identificationCost', topology)
assert data != None, topology
c = int(max(data['runtime']))
cost1.append(c)
data = utils.read_data(group, 'identificationCost', topology)
assert data != None, topology
c = int(max(data['newIGP']))
cost2.append(c)
groups = [str(i) for i in range(max(len(cost1), len(cost2)))]
cost1 = utils.data_to_bar(cost1)
cost2 = utils.data_to_bar(cost2)
utils.make_g_barplot([cost1, cost2], groups,
['original IGP', 'ECMP-free and complete IGP'],
['#3CAEA3', '#ED553B'],
'maximum identification sr-cylce segment cost',
'percentage of topologies', '',
'../data/plot/minSegCover_identification.eps', 50)
"""
ax = plt.subplot()
plot(x, y)
plt.xlabel("Topology size |G|")
plt.ylabel("Runtime in seconds")
plt.savefig('../data/plot/minSegCover_runtime_by_size_complete.eps', format='eps', dpi=600, bbox_inches='tight')
"""
if __name__ == '__main__':
cost = []
for group in utils.listGroups():
for fn in utils.listGroupInstances(group):
print(fn)
topology = fn.split('.')[0]
data = utils.read_data(group, 'edgeDisjointPaths', topology)
assert data != None, topology
res = data['results']
for r in res:
cost.append(r['maxSeg'])
cost = utils.count(cost)
cost = utils.dict_to_bar(cost)
cost = utils.array_to_percent(cost)
s = 0
for i in range(6, len(cost)):
s += cost[i]
print(s)
groups = [str(i) for i in range(len(cost))]
utils.make_g_barplot([cost], groups, ['seg cost'], ['#3CAEA3'],
'segment cost', 'percentage of topologies', '',
'../data/plot/minCostEDP_segcost.eps', 5)
"""
ax = plt.subplot()
plot(x, y)
plt.xlabel("Topology size |G|")
plt.ylabel("Runtime in seconds")
plt.savefig('../data/plot/minSegCover_runtime_by_size.eps', format='eps', dpi=600, bbox_inches='tight')
"""
import utils
if __name__ == '__main__':
labels = [ ]
max_seg = { }
for group in utils.listGroups():
for fn in utils.listGroupInstances(group):
name = fn.split('.')[0]
data = utils.read_data(group, 'MCFsegcost', name)
if data == None: continue
nb_seg = data['nbSeg']
m = max(nb_seg)
if m not in max_seg:
max_seg[m] = 0
max_seg[m] += 1
mseg = utils.array_to_percent(utils.dict_to_bar(max_seg))
groups = [ str(i) for i in range(len(mseg)) ]
utils.make_g_barplot([mseg], groups, ['seg cost'], ['#3CAEA3'], 'maximum segment cost', 'percentage of topologies', 'maximum segment cost over all topologies <= 50', '../data/plot/mcf_seg.eps', 10)
cost1 = []
cost2 = []
for group in utils.listGroups():
for fn in utils.listGroupInstances(group):
print(fn)
topology = fn.split('.')[0]
data = utils.read_data(group, 'minCover', topology)
assert data != None, topology
c = int(data['initialCoverSeg'])
cost1.append(c)
data = utils.read_data(group, 'minCover_complete', topology)
assert data != None, topology
c = int(data['initialCoverSeg'])
cost2.append(c)
print(utils)
groups = [str(i) for i in range(max(len(cost1), len(cost2)))]
cost1 = utils.data_to_bar(cost1)
cost2 = utils.data_to_bar(cost2)
utils.make_g_barplot([cost1, cost2], groups,
['original IGP', 'ECMP-free and complete IGP'],
['#3CAEA3', '#ED553B'], 'segment cost',
'percentage of topologies', '',
'../data/plot/minSegCover_segcost_complete.eps', 5)
"""
ax = plt.subplot()
plot(x, y)
plt.xlabel("Topology size |G|")
plt.ylabel("Runtime in seconds")
plt.savefig('../data/plot/minSegCover_runtime_by_size_complete.eps', format='eps', dpi=600, bbox_inches='tight')
"""
import numpy as np
from pylab import *
import argparse
import os
import json
import utils
if __name__ == '__main__':
cost1 = [ ]
for group in utils.listGroups():
for fn in utils.listGroupInstances(group):
print(fn)
topology = fn.split('.')[0]
data = utils.read_data(group, 'identificationCost', topology)
assert data != None, topology
c = int(max(data['originalIGP']))
cost1.append(c)
groups = [ str(i) for i in range(len(cost1)) ]
cost1 = utils.data_to_bar(cost1)
utils.make_g_barplot([cost1], groups, ['original IGP'], ['#3CAEA3'], 'maximum identification sr-cylce segment cost', 'percentage of topologies', '', '../data/plot/minSegCover_identification_orig.eps', 50)
"""
ax = plt.subplot()
plot(x, y)
plt.xlabel("Topology size |G|")
plt.ylabel("Runtime in seconds")
plt.savefig('../data/plot/minSegCover_runtime_by_size_complete.eps', format='eps', dpi=600, bbox_inches='tight')
"""
import numpy as np
from pylab import *
import argparse
import os
import json
import utils
if __name__ == '__main__':
s = []
for group in utils.listGroups():
for fn in utils.listGroupInstances(group):
print(fn)
topology = fn.split('.')[0]
data = utils.read_data(group, 'primeIGP', topology)
assert data != None, topology
s.append(int(data['s']))
print(s)
s = utils.data_to_bar(s)
groups = [str(i) for i in range(len(s))]
utils.make_g_barplot([s], groups, ['s'], ['#3CAEA3'], 'value of s',
'percentage of topologies', '',
'../data/plot/primeIGP_s.eps', 5)