-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathseq_together.py
558 lines (490 loc) · 28.2 KB
/
seq_together.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
#! /usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2015 Matthieu Baerts & Quentin De Coninck
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
# MA 02110-1301, USA.
#
# To install on this machine: matplotlib, numpy
from __future__ import print_function
##################################################
## IMPORTS ##
##################################################
import argparse
import bisect
import common as co
import glob
import matplotlib
# Do not use any X11 backend
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import mptcp
import numpy as np
import os
import os.path
import pickle
import sys
import tcp
##################################################
## ARGUMENTS ##
##################################################
parser = argparse.ArgumentParser(
description="Summarize sequence number together in one graph")
parser.add_argument("-s",
"--stat", help="directory where the stat files are stored", default=co.DEF_STAT_DIR+'_'+co.DEF_IFACE)
parser.add_argument('-S',
"--sums", help="directory where the summary graphs will be stored", default=co.DEF_SUMS_DIR+'_'+co.DEF_IFACE)
parser.add_argument("-d",
"--dirs", help="list of directories to aggregate", nargs="+")
parser.add_argument("-c",
"--csv", help="directory where csvs/xpls are located")
args = parser.parse_args()
stat_dir_exp = os.path.abspath(os.path.expanduser(args.stat))
sums_dir_exp = os.path.abspath(os.path.expanduser(args.sums))
csv_dir_exp = os.path.abspath(os.path.expanduser(args.csv))
co.check_directory_exists(sums_dir_exp)
def check_in_list(dirpath, dirs):
""" Check if dirpath is one of the dir in dirs, True if dirs is empty """
if not dirs:
return True
return os.path.basename(dirpath) in dirs
def fetch_data(dir_exp):
co.check_directory_exists(dir_exp)
dico = {}
for dirpath, dirnames, filenames in os.walk(dir_exp):
if check_in_list(dirpath, args.dirs):
for fname in filenames:
try:
stat_file = open(os.path.join(dirpath, fname), 'r')
dico[fname] = pickle.load(stat_file)
stat_file.close()
except IOError as e:
print(str(e) + ': skip stat file ' + fname, file=sys.stderr)
return dico
connections = fetch_data(stat_dir_exp)
def is_reverse_connection(csv_fname):
first_underscore_index = csv_fname.rindex("_")
second_underscore_index = csv_fname[:first_underscore_index].rindex("_")
third_underscore_index = csv_fname[:second_underscore_index].rindex("_")
return csv_fname[third_underscore_index + 1:second_underscore_index] == "s2c"
def seq_d2s_all_connections(time_loss=1.5):
for fname, conns in connections.iteritems():
seqs = {co.WIFI: [], co.CELL: []}
start_connections = []
retrans_rto = {co.WIFI: [], co.CELL: []}
retrans_frt = {co.WIFI: [], co.CELL: []}
retrans_rec = {co.WIFI: [], co.CELL: []}
retrans_und = {co.WIFI: [], co.CELL: []}
retrans_rto_plot = {co.WIFI: [], co.CELL: []}
retrans_frt_plot = {co.WIFI: [], co.CELL: []}
retrans_rec_plot = {co.WIFI: [], co.CELL: []}
retrans_und_plot = {co.WIFI: [], co.CELL: []}
conn_event = {co.WIFI: [], co.CELL: []}
if fname.startswith('mptcp'):
is_reinjection = {co.WIFI: [], co.CELL: []}
tot_reinjection_on = {co.WIFI: 0, co.CELL: 0}
start_subflows = {co.WIFI: [], co.CELL: []}
min_start = float('inf')
for conn_id, conn in conns.iteritems():
for flow_id, flow in conn.flows.iteritems():
min_start = min(min_start, flow.attr.get(co.START, float('inf')))
offset_duration = {}
for conn_id, conn in conns.iteritems():
offset_duration[conn_id] = {}
for flow_id, flow in conn.flows.iteritems():
offset_duration[conn_id][flow_id] = flow.attr.get(co.START, float('inf')) - min_start
for xpl_path in glob.glob(os.path.join(csv_dir_exp, fname + '_*.xpl')):
xpl_fname = os.path.basename(xpl_path)
if 'tsg' not in xpl_fname:
continue
xpl_fullpath = os.path.abspath(os.path.expanduser(xpl_path))
# Preprocessing, avoid wasting time with not interesting files
flow_name, from_server_to_smartphone = tcp.get_flow_name(xpl_fname)
if not from_server_to_smartphone:
continue
# Opening of the file
try:
xpl_file = open(xpl_fullpath)
data = xpl_file.readlines()
xpl_file.close()
except IOError as e:
print(str(e))
continue
conn = None
conn_id = None
flow_id = None
for conn_i, connection in conns.iteritems():
for flow_i, flow in connection.flows.iteritems():
if flow.subflow_id == flow_name:
conn = connection
conn_id = conn_i
flow_id = flow_i
break
if conn and flow_id:
break
if not conn:
continue
# Now process the file
start_connections.append(conn.attr[co.START] - min_start)
interface = conn.flows[flow_id].attr[co.IF]
conn_event[interface].append((conn.attr[co.START] - min_start, 'start'))
start_subflows[interface].append(conn.flows[flow_id].attr[co.START] - min_start)
if offset_duration[conn_id][flow_id] == float('inf'):
print('Skipped', fname, conn_id, flow_id, flow_name, conn.attr)
continue
last_time = None
is_white = False
for line in data:
if is_white and (line.startswith("uarrow") or line.startswith("diamond")):
split_line = line.split(" ")
# if ((not split_line[0] == "diamond") or (len(split_line) == 4 and "white" in split_line[3])):
time = float(split_line[1])
last_time = time
seqs[interface].append([time + offset_duration[conn_id][flow_id], int(split_line[2]), flow_name])
elif len(line.split(" ")) == 1:
if line.startswith("white"):
is_white = True
else:
is_white = False
if last_time:
conn_event[interface].append((last_time + offset_duration[conn_id][flow_id], 'end'))
else:
# Opened too shortly
conn_event[interface].append((conn.attr[co.START] - min_start + 0.010000, 'end'))
for reinject_time, reinject_type in conn.flows[flow_id].attr[co.D2S][co.TCPCSM_RETRANS]:
ts_int = int(reinject_time.split('.')[0])
ts_dec = float('.' + reinject_time.split('.')[1])
ts_offset_int = ts_int - int(min_start)
ts_offset_dec = ts_dec - (min_start - int(min_start))
ts_offset = ts_offset_int + ts_offset_dec
if reinject_type == 'RTO':
retrans_rto[interface].append(ts_offset)
elif reinject_type in ['FRETX', 'MS_FRETX', 'SACK_FRETX', 'BAD_FRETX']:
retrans_frt[interface].append(ts_offset)
elif reinject_type in ['LOSS_REC', 'FREC']:
retrans_rec[interface].append(ts_offset)
elif reinject_type in ['UNEXP_FREC', 'UNNEEDED']:
retrans_und[interface].append(ts_offset)
for reinj_ts, reinj_bytes in conn.flows[flow_id].attr[co.D2S][co.IS_REINJ].iteritems():
is_reinjection[interface].append(float(reinj_ts) - min_start)
tot_reinjection_on[interface] += reinj_bytes
print("WIFI size", len(seqs[co.WIFI]))
print("CELL size", len(seqs[co.CELL]))
# Now put all together on a same graph
offsets = {co.WIFI: {}, co.CELL: {}}
tot_offset = {co.WIFI: 0, co.CELL: 0}
seqs_plot = {co.WIFI: [], co.CELL: []}
is_reinj_plot = {co.WIFI: [], co.CELL: []}
for ith, seqs_ith in seqs.iteritems():
seqs_sort = sorted(seqs_ith, key=lambda elem: elem[0])
for elem in seqs_sort:
if elem[2] not in offsets[ith]:
offsets[ith][elem[2]] = elem[1]
seqs_plot[ith].append((elem[0], tot_offset[ith]))
if tot_offset[ith] < 0 or elem[1] < 0:
print("NEGATIVE START", ith, elem[1], tot_offset[ith])
else:
if tot_offset[ith] + (elem[1] - offsets[ith][elem[2]]) < 0:
print(offsets)
print("NEGATIVE", ith, elem[1], tot_offset[ith], offsets[ith][elem[2]], tot_offset[ith] + (elem[1] - offsets[ith][elem[2]]))
seqs_plot[ith].append((elem[0], tot_offset[ith] + (elem[1] - offsets[ith][elem[2]])))
tot_offset[ith] += elem[1] - offsets[ith][elem[2]]
offsets[ith][elem[2]] = elem[1]
x_data = [x for x, y in seqs_plot[ith]]
for reinj_ts in is_reinjection[ith]:
index = min(bisect.bisect(x_data, reinj_ts), len(seqs_plot[ith]) - 1)
is_reinj_plot[ith].append((reinj_ts, seqs_plot[ith][index][1]))
improved_seqs_plot = []
previous_elem = None
for elem in seqs_plot[ith]:
if len(improved_seqs_plot) >= 1 and elem[1] - previous_elem[1] < 2 and elem[0] - previous_elem[0] >= 1.0:
improved_seqs_plot.append((previous_elem[0] + 0.001000, 0))
improved_seqs_plot.append((elem[0] - 0.001000, 0))
improved_seqs_plot.append(elem)
previous_elem = elem
# If needed, insert 0s in curves to show loss of connectivity
sorted_events = sorted(conn_event[ith], key=lambda elem: elem[0])
print(sorted_events)
counter = 0
sorted_event_plot = [(0.0, 0)]
x_data = [x for x, y in seqs_plot[ith]]
x_data_two = [x for x, y in improved_seqs_plot]
for event_time, event in sorted_events:
if event == 'start':
if counter == 0:
sorted_event_plot.append((event_time - 0.005000, 0))
counter += 1
elif event == 'end':
if counter == 0:
print("Strange...")
else:
counter -= 1
if counter == 0:
index = bisect.bisect_left(x_data, event_time + 0.004999)
if index < len(seqs_plot[ith]) - 1:
sorted_event_plot.append((event_time + 0.004999, seqs_plot[ith][index][1]))
sorted_event_plot.append((event_time + 0.005000, 0))
for retrans_ts in retrans_rto[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_rto_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
for retrans_ts in retrans_frt[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_frt_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
for retrans_ts in retrans_rec[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_rec_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
for retrans_ts in retrans_und[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_und_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
seqs_plot[ith] = sorted(improved_seqs_plot + sorted_event_plot, key=lambda elem: elem[0])
# start_ts = min(seqs_plot[co.WIFI][0][0], seqs_plot[co.CELL][0][0])
fig, ax = plt.subplots()
ax.plot([x[0] for x in seqs_plot[co.WIFI]], [x[1] for x in seqs_plot[co.WIFI]], 'b-', label="WiFi")
ax.plot([x[0] for x in seqs_plot[co.CELL]], [x[1] for x in seqs_plot[co.CELL]], 'r-', label="Cellular")
for ith in [co.WIFI, co.CELL]:
if ith == co.WIFI:
ax.plot([x[0] for x in retrans_rto_plot[ith]], [x[1] for x in retrans_rto_plot[ith]], 'cd', label="Retr RTO", alpha=0.33)
ax.plot([x[0] for x in retrans_frt_plot[ith]], [x[1] for x in retrans_frt_plot[ith]], 'md', label="Retr FRT", alpha=0.33)
ax.plot([x[0] for x in retrans_rec_plot[ith]], [x[1] for x in retrans_rec_plot[ith]], 'yd', label="Retr REC", alpha=0.33)
ax.plot([x[0] for x in retrans_und_plot[ith]], [x[1] for x in retrans_und_plot[ith]], color='black', marker='d', linestyle='None', label="Retr UND", alpha=0.33)
ax.plot([x[0] for x in is_reinj_plot[ith]], [x[1] for x in is_reinj_plot[ith]], 'go', label="Is Reinj", alpha=0.33)
else:
ax.plot([x[0] for x in retrans_rto_plot[ith]], [x[1] for x in retrans_rto_plot[ith]], 'cd', alpha=0.33)
ax.plot([x[0] for x in retrans_frt_plot[ith]], [x[1] for x in retrans_frt_plot[ith]], 'md', alpha=0.33)
ax.plot([x[0] for x in retrans_rec_plot[ith]], [x[1] for x in retrans_rec_plot[ith]], 'yd', alpha=0.33)
ax.plot([x[0] for x in retrans_und_plot[ith]], [x[1] for x in retrans_und_plot[ith]], color='black', linestyle='None', marker='d', alpha=0.33)
ax.plot([x[0] for x in is_reinj_plot[ith]], [x[1] for x in is_reinj_plot[ith]], 'go', alpha=0.33)
max_wifi = max([x[1] for x in seqs_plot[co.WIFI]]) if len(seqs_plot[co.WIFI]) > 0 else 10
max_cell = max([x[1] for x in seqs_plot[co.CELL]]) if len(seqs_plot[co.WIFI]) > 0 else 10
first = True
for x in start_connections:
if first:
ax.plot([x, x], [0, max(max_wifi, max_cell)], 'g-', label="Start co", alpha=0.33)
first = False
else:
ax.plot([x, x], [0, max(max_wifi, max_cell)], 'g-', alpha=0.33)
ax.plot(start_subflows[co.WIFI], [max_wifi for x in start_subflows[co.WIFI]], 'bx', label="Start SF W")
ax.plot(start_subflows[co.CELL], [max_cell for x in start_subflows[co.CELL]], 'rx', label="Start SF C")
# Shrink current axis by 20%
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
# Put a legend to the right of the current axis
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), fontsize='large')
plt.xlim(xmin=0.0)
plt.xlabel("Time", fontsize=18)
plt.ylabel("Bytes", fontsize=18)
plt.title('Reinj. on WIFI: ' + str(tot_reinjection_on[co.WIFI]) + ' and CELL: ' + str(tot_reinjection_on[co.CELL]))
plt.ticklabel_format(style='sci', axis='y', scilimits=(0, 0))
plt.savefig(os.path.join(sums_dir_exp, fname + '.pdf'))
plt.close('all')
elif fname.startswith('tcp'):
min_start = float('inf')
for conn_id, conn in conns.iteritems():
min_start = min(min_start, conn.flow.attr.get(co.START, float('inf')))
for xpl_path in glob.glob(os.path.join(csv_dir_exp, fname + '_*.xpl')):
xpl_fname = os.path.basename(xpl_path)
# Preprocessing, avoid wasting time with not interesting files
conn_id, from_server_to_smartphone = tcp.get_flow_name(xpl_fname)
if not from_server_to_smartphone:
continue
# Opening of the file
try:
xpl_file = open(xpl_path)
data = xpl_file.readlines()
xpl_file.close()
except IOError as e:
print(str(e))
continue
# Now process the file
conn = connections[fname][conn_id]
start_connections.append(conn.flow.attr[co.START] - min_start)
offset = conn.flow.attr[co.START] - min_start
interface = conn.flow.attr[co.IF]
conn_event[interface].append((conn.flow.attr[co.START] - min_start, 'start'))
last_time = None
is_white = False
for line in data:
if is_white and (line.startswith("uarrow") or line.startswith("diamond")):
split_line = line.split(" ")
# if ((not split_line[0] == "diamond") or (len(split_line) == 4 and "white" in split_line[3])):
time = float(split_line[1])
last_time = time
seqs[interface].append([time, int(split_line[2]) + offset, conn_id])
elif len(line.split(" ")) == 1:
if line.startswith("white"):
is_white = True
else:
is_white = False
if last_time:
conn_event[interface].append((last_time + offset, 'end'))
else:
# Opened too shortly
conn_event[interface].append((conn.flow.attr[co.START] - min_start + 0.010000, 'end'))
for reinject_time, reinject_type in conn.flow.attr[co.D2S].get(co.TCPCSM_RETRANS, []):
ts_int = int(reinject_time.split('.')[0])
ts_dec = float('.' + reinject_time.split('.')[1])
ts_offset_int = ts_int - int(min_start)
ts_offset_dec = ts_dec - (min_start - int(min_start))
ts_offset = ts_offset_int + ts_offset_dec
if reinject_type == 'RTO':
retrans_rto[interface].append(ts_offset)
elif reinject_type in ['FRETX', 'MS_FRETX', 'SACK_FRETX', 'BAD_FRETX']:
retrans_frt[interface].append(ts_offset)
elif reinject_type in ['LOSS_REC', 'FREC']:
retrans_rec[interface].append(ts_offset)
elif reinject_type in ['UNEXP_FREC', 'UNNEEDED']:
retrans_und[interface].append(ts_offset)
# Now put all togetger on a same graph
offsets = {}
tot_offset = {co.WIFI: 0, co.CELL: 0}
seqs_plot = {co.WIFI: [], co.CELL: []}
for ith, seqs_ith in seqs.iteritems():
seqs_sort = sorted(seqs_ith, key=lambda elem: elem[0])
for elem in seqs_sort:
if elem[2] not in offsets:
offsets[elem[2]] = elem[1]
seqs_plot[ith].append((elem[0], tot_offset[ith]))
else:
seqs_plot[ith].append((elem[0], tot_offset[ith] + (elem[1] - offsets[elem[2]])))
tot_offset[ith] += elem[1] - offsets[elem[2]]
offsets[elem[2]] = elem[1]
improved_seqs_plot = []
previous_elem = None
for elem in seqs_plot[ith]:
if len(improved_seqs_plot) >= 1 and elem[1] - previous_elem[1] < 2 and elem[0] - previous_elem[0] >= 1.0:
improved_seqs_plot.append((previous_elem[0] + 0.001000, 0))
improved_seqs_plot.append((elem[0] - 0.001000, 0))
improved_seqs_plot.append(elem)
previous_elem = elem
# If needed, insert 0s in curves to show loss of connectivity
sorted_events = sorted(conn_event[ith], key=lambda elem: elem[0])
counter = 0
sorted_event_plot = [(0.0, 0)]
x_data = [x for x, y in seqs_plot[ith]]
x_data_two = [x for x, y in improved_seqs_plot]
for event_time, event in sorted_events:
if event == 'start':
if counter == 0:
sorted_event_plot.append((event_time - 0.005000, 0))
counter += 1
elif event == 'end':
if counter == 0:
print("Strange...")
else:
counter -= 1
if counter == 0:
index = bisect.bisect_left(x_data, event_time + 0.004999)
if index < len(seqs_plot[ith]) - 2:
sorted_event_plot.append((event_time + 0.004999, seqs_plot[ith][index][1]))
sorted_event_plot.append((event_time + 0.005000, 0))
for retrans_ts in retrans_rto[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_rto_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
for retrans_ts in retrans_frt[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_frt_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
for retrans_ts in retrans_rec[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_rec_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
for retrans_ts in retrans_und[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_und_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
seqs_plot[ith] = sorted(improved_seqs_plot + sorted_event_plot, key=lambda elem: elem[0])
previous_node = None
# Post processing, remove all glitches
for i in range(0, len(seqs_plot[ith])):
if previous_node and (seqs_plot[ith][i][0] - previous_node[0] > 2.0) and (previous_node[1] == 0 and not seqs_plot[ith][i][1] == 0):
seqs_plot[ith][i] = (seqs_plot[ith][i][0], 0)
previous_node = seqs_plot[ith][i]
# start_ts = min(seqs_plot[co.WIFI][0][0], seqs_plot[co.CELL][0][0])
fig, ax = plt.subplots()
ax.plot([x[0] for x in seqs_plot[co.WIFI]], [x[1] for x in seqs_plot[co.WIFI]], 'b-', label="WiFi")
ax.plot([x[0] for x in seqs_plot[co.CELL]], [x[1] for x in seqs_plot[co.CELL]], 'r-', label="Cellular")
for ith in [co.WIFI, co.CELL]:
if ith == co.WIFI:
ax.plot([x[0] for x in retrans_rto_plot[ith]], [x[1] for x in retrans_rto_plot[ith]], 'cd', label="Retr RTO", alpha=0.33)
ax.plot([x[0] for x in retrans_frt_plot[ith]], [x[1] for x in retrans_frt_plot[ith]], 'md', label="Retr FRT", alpha=0.33)
ax.plot([x[0] for x in retrans_rec_plot[ith]], [x[1] for x in retrans_rec_plot[ith]], 'yd', label="Retr REC", alpha=0.33)
ax.plot([x[0] for x in retrans_und_plot[ith]], [x[1] for x in retrans_und_plot[ith]], color='black', linestyle='None', marker='d', label="Retr UND", alpha=0.33)
else:
ax.plot([x[0] for x in retrans_rto_plot[ith]], [x[1] for x in retrans_rto_plot[ith]], 'cd', alpha=0.33)
ax.plot([x[0] for x in retrans_frt_plot[ith]], [x[1] for x in retrans_frt_plot[ith]], 'md', alpha=0.33)
ax.plot([x[0] for x in retrans_rec_plot[ith]], [x[1] for x in retrans_rec_plot[ith]], 'yd', alpha=0.33)
ax.plot([x[0] for x in retrans_und_plot[ith]], [x[1] for x in retrans_und_plot[ith]], color='black', linestyle='None', marker='d', alpha=0.33)
max_wifi = max([x[1] for x in seqs_plot[co.WIFI]]) if len(seqs_plot[co.WIFI]) > 0 else 10
max_cell = max([x[1] for x in seqs_plot[co.CELL]]) if len(seqs_plot[co.WIFI]) > 0 else 10
first = True
for x in start_connections:
if first:
ax.plot([x, x], [0, max(max_wifi, max_cell)], 'g-', label="Start co", alpha=0.33)
first = False
else:
ax.plot([x, x], [0, max(max_wifi, max_cell)], 'g-', alpha=0.33)
# Shrink current axis by 20%
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
# Put a legend to the right of the current axis
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), fontsize='large')
plt.xlim(xmin=0.0)
plt.xlabel("Time", fontsize=18)
plt.ylabel("Bytes", fontsize=18)
plt.ticklabel_format(style='sci', axis='y', scilimits=(0, 0))
plt.savefig(os.path.join(sums_dir_exp, fname + '.pdf'))
plt.close('all')
seq_d2s_all_connections()
def collect_seq():
seqs = {}
for csv_path in glob.glob(os.path.join(csv_dir_exp, '*.csv')):
csv_fname = os.path.basename(csv_path)
try:
csv_file = open(csv_path)
data = csv_file.readlines()
csv_file.close()
except IOError as e:
print(str(e))
continue
seqs_csv = []
for line in data:
split_line = line.split(',')
if len(split_line) == 6:
if int(split_line[3]) == 0:
# ACK
timestamp = float(split_line[0])
seq_ack = int(split_line[1])
flow_id = int(split_line[2]) - 1
# is_ack = True # int(split_line[3]) == 0
# dummy = int(split_line[4])
# dummy_2 = int(split_line[5])
seqs_csv.append((timestamp, seq_ack, flow_id))
elif int(split_line[3]) == 1:
# MAP
timestamp = float(split_line[0])
seq_start = int(split_line[1])
flow_id = int(split_line[2]) - 1
# is_ack = False # int(split_line[3]) == 1
seq_end = int(split_line[4])
reinject_flow = int(split_line[5]) - 1 # If not negative, the flow where packet was first seen
seqs_csv.append((timestamp, seq_start, flow_id, seq_end, reinject_flow))
seqs[csv_fname] = seqs_csv
return seqs