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
|
#!/usr/bin/env python3
import sys
import re
import argparse
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
class Point:
"CC event"
def __init__(self, x, y):
self.x = x
self.y = y
def listx(points):
return list(map(lambda pt: pt.x, points))
def listy(points):
return list(map(lambda pt: pt.y, points))
def plot_data(d):
plt.figure(1)
cwndx = listx(d["cwnd"])
cwndy = listy(d["cwnd"])
congx = listx(d["congestion"])
congy = listy(d["congestion"])
rcvrdx = listx(d["recovered"])
rcvrdy = listy(d["recovered"])
rxttx = listx(d["rxtTimeout"])
rxtty = listy(d["rxtTimeout"])
# cwnd/ssthresh/cc events
plt.subplot(311)
plt.title("cwnd/ssthresh")
pcwnd = plt.plot(cwndx, cwndy, "r")
psst = plt.plot(cwndx, d["ssthresh"], "y-")
pcong = plt.plot(congx, congy, "yo")
precov = plt.plot(rcvrdx, rcvrdy, "co")
prxtt = plt.plot(rxttx, rxtty, "mo")
marker1 = Line2D(range(1), range(1), color="r")
marker2 = Line2D(range(1), range(1), color="y")
marker3 = Line2D(range(1), range(1), color="w", marker="o", markerfacecolor="y")
marker4 = Line2D(range(1), range(1), color="w", marker="o", markerfacecolor="c")
marker5 = Line2D(range(1), range(1), color="w", marker="o", markerfacecolor="m")
plt.legend(
(marker1, marker2, marker3, marker4, marker5),
("cwnd", "ssthresh", "congestion", "recovered", "rxt-timeout"),
loc=4,
)
axes = plt.gca()
axes.set_ylim([-20e4, max(cwndy) + 20e4])
# snd variables
plt.subplot(312)
plt.title("cc variables")
plt.plot(cwndx, d["space"], "g-", markersize=1)
plt.plot(cwndx, d["flight"], "b-", markersize=1)
plt.plot(cwndx, d["sacked"], "m:", markersize=1)
plt.plot(cwndx, d["lost"], "y:", markersize=1)
plt.plot(cwndx, d["cc-space"], "k:", markersize=1)
plt.plot(cwndx, cwndy, "ro", markersize=2)
plt.plot(congx, congy, "y^", markersize=10, markerfacecolor="y")
plt.plot(rcvrdx, rcvrdy, "c^", markersize=10, markerfacecolor="c")
plt.plot(rxttx, rxtty, "m^", markersize=10, markerfacecolor="m")
# plt.plot(cwndx, d["snd_wnd"], 'ko', markersize=1)
plt.legend(
(
"snd-space",
"flight",
"sacked",
"lost",
"cc-space",
"cwnd",
"congestion",
"recovered",
"rxt-timeout",
),
loc=1,
)
# rto/srrt/rttvar
plt.subplot(313)
plt.title("rtt")
plt.plot(cwndx, d["srtt"], "g-")
plt.plot(cwndx, [x / 1000 for x in d["mrtt-us"]], "r-")
plt.plot(cwndx, d["rttvar"], "b-")
plt.legend(["srtt", "mrtt-us", "rttvar"])
axes = plt.gca()
# plt.plot(cwndx, rto, 'r-')
# axes.set_ylim([0, int(max(rto[2:len(rto)])) + 50])
# show
plt.show()
def find_pattern(file_path, session_idx):
is_active_open = 1
listener_pattern = "l\[\d\]"
if is_active_open:
initial_pattern = "\[\d\](\.\d+:\d+\->\.\d+:\d+)\s+open:\s"
else:
initial_pattern = "\[\d\](\.\d+:\d+\->\.\d+:\d+)\s"
idx = 0
f = open(file_path, "r")
for line in f:
# skip listener lines (server)
if re.search(listener_pattern, line) != None:
continue
match = re.search(initial_pattern, line)
if match == None:
continue
if idx < session_idx:
idx += 1
continue
filter_pattern = str(match.group(1)) + "\s+(.+)"
print("pattern is %s" % filter_pattern)
f.close()
return filter_pattern
raise Exception("Could not find initial pattern")
def compute_time(min, sec, msec):
return int(min) * 60 + int(sec) + int(msec) / 1000.0
def run(file_path, session_idx):
filter_sessions = 1
filter_pattern = ""
patterns = {
"time": "^\d+:(\d+):(\d+):(\d+):\d+",
"listener": "l\[\d\]",
"cc": "cwnd (\d+) flight (\d+) space (\d+) ssthresh (\d+) snd_wnd (\d+)",
"cc-snd": "cc_space (\d+) sacked (\d+) lost (\d+)",
"rtt": "rto (\d+) srtt (\d+) mrtt-us (\d+) rttvar (\d+)",
"rxtt": "rxt-timeout",
"congestion": "congestion",
"recovered": "recovered",
}
d = {
"cwnd": [],
"space": [],
"flight": [],
"ssthresh": [],
"snd_wnd": [],
"cc-space": [],
"lost": [],
"sacked": [],
"rto": [],
"srtt": [],
"mrtt-us": [],
"rttvar": [],
"rxtTimeout": [],
"congestion": [],
"recovered": [],
}
if filter_sessions:
filter_pattern = find_pattern(file_path, session_idx)
f = open(file_path, "r")
stats_index = 0
start_time = 0
for line in f:
# skip listener lines (server)
if re.search(patterns["listener"], line) != None:
continue
# filter sessions
if filter_sessions:
match = re.search(filter_pattern, line)
if match == None:
continue
original_line = line
line = match.group(1)
match = re.search(patterns["time"], original_line)
if match == None:
print("something went wrong! no time!")
continue
time = compute_time(match.group(1), match.group(2), match.group(3))
if start_time == 0:
start_time = time
time = time - start_time
match = re.search(patterns["cc"], line)
if match != None:
d["cwnd"].append(Point(time, int(match.group(1))))
d["flight"].append(int(match.group(2)))
d["space"].append(int(match.group(3)))
d["ssthresh"].append(int(match.group(4)))
d["snd_wnd"].append(int(match.group(5)))
stats_index += 1
continue
match = re.search(patterns["cc-snd"], line)
if match != None:
d["cc-space"].append(int(match.group(1)))
d["sacked"].append(int(match.group(2)))
d["lost"].append(int(match.group(3)))
match = re.search(patterns["rtt"], line)
if match != None:
d["rto"].append(int(match.group(1)))
d["srtt"].append(int(match.group(2)))
d["mrtt-us"].append(int(match.group(3)))
d["rttvar"].append(int(match.group(4)))
if stats_index == 0:
continue
match = re.search(patterns["rxtt"], line)
if match != None:
d["rxtTimeout"].append(Point(time, d["cwnd"][stats_index - 1].y + 1e4))
continue
match = re.search(patterns["congestion"], line)
if match != None:
d["congestion"].append(Point(time, d["cwnd"][stats_index - 1].y - 1e4))
continue
match = re.search(patterns["recovered"], line)
if match != None:
d["recovered"].append(Point(time, d["cwnd"][stats_index - 1].y))
continue
plot_data(d)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Plot tcp cc logs")
parser.add_argument(
"-f", action="store", dest="file", required=True, help="elog file in txt format"
)
parser.add_argument(
"-s",
action="store",
dest="session_index",
default=0,
help="session index for which to plot cc logs",
)
results = parser.parse_args()
run(results.file, int(results.session_index))
|
