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delay_mpcapable_mpjoin.py
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#! /usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2015 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
import argparse
import common as co
import common_graph as cog
import matplotlib
# Do not use any X11 backend
matplotlib.use('Agg')
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
import matplotlib.pyplot as plt
import mptcp
import numpy as np
import os
import sys
import tcp
##################################################
## ARGUMENTS ##
##################################################
parser = argparse.ArgumentParser(
description="Summarize stat files generated by analyze")
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="+")
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))
co.check_directory_exists(sums_dir_exp)
##################################################
## GET THE DATA ##
##################################################
connections = cog.fetch_valid_data(stat_dir_exp, args)
multiflow_connections, singleflow_connections = cog.get_multiflow_connections(connections)
##################################################
## PLOTTING RESULTS ##
##################################################
def plot(connections, multiflow_connections, sums_dir_exp):
threshold_handover = 1.0
syn_first_additional_sf = []
syn_additional_sfs = []
time_handover = []
time_handover_conn = []
time_handover_conn_info = []
react_handover = []
handover_conns = {}
second_sf_handover = []
log_file = sys.stdout
less_200ms = 0
less_1s = 0
more_60s = 0
more_3600s = 0
less_200ms_second = 0
less_1s_second = 0
more_60s_second = 0
more_3600s_second = 0
# Look only at multiple subflows connections
for fname, conns in multiflow_connections.iteritems():
handover_conns[fname] = {}
for conn_id, conn in conns.iteritems():
# First find initial subflow timestamp
initial_sf_ts = float('inf')
initial_sf_id = None
last_acks = []
min_time_last_ack = float('inf')
for flow_id, flow in conn.flows.iteritems():
if co.START not in flow.attr or flow.attr[co.SADDR] == co.IP_PROXY:
continue
if flow.attr[co.START] < initial_sf_ts:
initial_sf_ts = flow.attr[co.START]
initial_sf_id = flow_id
flow_bytes = 0
for direction in co.DIRECTIONS:
flow_bytes += flow.attr[direction].get(co.BYTES_DATA, 0)
if flow_bytes > 0 and flow.attr[co.S2C].get(co.TIME_LAST_ACK_TCP, 0.0) > 0.0:
last_acks.append(flow.attr[co.S2C][co.TIME_LAST_ACK_TCP])
min_time_last_ack = min(min_time_last_ack, flow.attr[co.S2C][co.TIME_LAST_ACK_TCP])
if initial_sf_ts == float('inf'):
continue
# Now store the delta and record connections with handover
handover_detected = False
count_flows = 0
min_delta = float('inf')
flow_id_min_delta = None
for flow_id, flow in conn.flows.iteritems():
if co.START not in flow.attr or flow.attr[co.SADDR] == co.IP_PROXY:
continue
delta = flow.attr[co.START] - initial_sf_ts
min_last_acks = float('inf')
if len(last_acks) >= 1:
min_last_acks = min(last_acks)
max_last_payload = 0 - float('inf')
if flow.attr[co.C2S].get(co.BYTES, 0) > 0 or flow.attr[co.S2C].get(co.BYTES, 0) > 0:
max_last_payload = max([flow.attr[direction][co.TIME_LAST_PAYLD] for direction in co.DIRECTIONS])
handover_delta = flow.attr[co.START] + max_last_payload - min_last_acks
if delta > 0.0:
min_delta = min(min_delta, delta)
if min_delta == delta:
flow_id_min_delta = flow_id
if delta < 0.01:
print(fname, conn_id, flow_id, delta)
syn_additional_sfs.append(delta)
if handover_delta > 0.0:
# A subflow is established after the last ack of the client seen --> Handover
time_handover.append(min_last_acks - initial_sf_ts)
react_handover.append(handover_delta)
last_acks.remove(min_last_acks)
if not handover_detected:
handover_detected = True
time_handover_conn.append(delta)
time_handover_conn_info.append((min_last_acks - initial_sf_ts, delta, fname, conn_id))
handover_conns[fname][conn_id] = conn
if delta >= 50000:
print("HUGE DELTA", fname, conn_id, flow_id, delta, file=log_file)
if delta <= 0.2:
less_200ms += 1
if delta <= 1:
less_1s += 1
if delta >= 60:
more_60s += 1
if delta >= 3600:
more_3600s += 1
if flow_id_min_delta:
syn_first_additional_sf.append(min_delta)
if conn.flows[initial_sf_id].attr[co.S2C][co.TIME_LAST_ACK_TCP] < conn.flows[flow_id_min_delta].attr[co.START]:
# Handover between initial and second subflow
second_sf_handover.append(min_delta)
if delta <= 0.2:
less_200ms_second += 1
if delta <= 1:
less_1s_second += 1
if delta >= 60:
more_60s_second += 1
if delta >= 3600:
more_3600s_second += 1
# Do a first CDF plot of the delta between initial SYN and additional ones
base_graph_path = os.path.join(sums_dir_exp, 'cdf_delta_addtitional_syns')
color = 'red'
graph_fname = os.path.splitext(base_graph_path)[0] + "_cdf.pdf"
graph_fname_log = os.path.splitext(base_graph_path)[0] + "_cdf_log.pdf"
sample = np.array(sorted(syn_additional_sfs))
sorted_array = np.sort(sample)
yvals = np.arange(len(sorted_array)) / float(len(sorted_array))
sample_2 = np.array(sorted(syn_first_additional_sf))
sorted_array_2 = np.sort(sample_2)
yvals_2 = np.arange(len(sorted_array_2)) / float(len(sorted_array_2))
if len(sorted_array) > 0:
# Add a last point
sorted_array = np.append(sorted_array, sorted_array[-1])
yvals = np.append(yvals, 1.0)
sorted_array_2 = np.append(sorted_array_2, sorted_array_2[-1])
yvals_2 = np.append(yvals_2, 1.0)
# Log plot
plt.figure()
plt.clf()
fig, ax = plt.subplots()
ax.plot(sorted_array, yvals, color=color, linewidth=2, label="Additional subflows")
ax.plot(sorted_array_2, yvals_2, color='blue', linestyle='--', linewidth=2, label="Second subflows")
# Shrink current axis's height by 10% on the top
# box = ax.get_position()
# ax.set_position([box.x0, box.y0,
# box.width, box.height * 0.9])
ax.set_xscale('log')
# Put a legend above current axis
# ax.legend(loc='lower center', bbox_to_anchor=(0.5, 1.05), fancybox=True, shadow=True, ncol=ncol)
ax.legend(loc='lower right')
plt.xlim(xmin=0.01)
plt.xlabel('Time between MP_JOIN and MP_CAP [s]', fontsize=24, labelpad=-2)
plt.ylabel("CDF", fontsize=24)
plt.savefig(graph_fname_log)
plt.close('all')
# # Normal plot
# plt.figure()
# plt.clf()
# fig, ax = plt.subplots()
# ax.plot(sorted_array, yvals, color=color, linewidth=2, label="MP_JOIN - MP_CAP")
#
# # Shrink current axis's height by 10% on the top
# # box = ax.get_position()
# # ax.set_position([box.x0, box.y0,
# # box.width, box.height * 0.9])
# # ax.set_xscale('log')
#
# # Put a legend above current axis
# # ax.legend(loc='lower center', bbox_to_anchor=(0.5, 1.05), fancybox=True, shadow=True, ncol=ncol)
# ax.legend(loc='lower right')
#
# plt.xlabel('Time [s]', fontsize=18)
# plt.ylabel("CDF", fontsize=18)
# plt.savefig(graph_fname)
# plt.close('all')
# Now quantify in handover connections the amount of data not on the initial subflows
bytes_init_sf = 0.0
bytes_init_sfs = 0.0
bytes_total = 0.0
for fname, conns in handover_conns.iteritems():
for conn_id, conn in conns.iteritems():
# First find initial subflow timestamp
initial_sf_ts = float('inf')
for flow_id, flow in conn.flows.iteritems():
if co.START not in flow.attr:
continue
if flow.attr[co.START] < initial_sf_ts:
initial_sf_ts = flow.attr[co.START]
min_delta = float('inf')
for flow_id, flow in conn.flows.iteritems():
if co.START not in flow.attr:
continue
delta = flow.attr[co.START] - initial_sf_ts
if delta > 0.0:
min_delta = min(min_delta, delta)
# Now collect the amount of data on all subflows
for flow_id, flow in conn.flows.iteritems():
if co.START not in flow.attr:
continue
delta = flow.attr[co.START] - initial_sf_ts
for direction in co.DIRECTIONS:
bytes_total += flow.attr[direction].get(co.BYTES, 0)
if flow.attr[direction].get(co.BYTES, 0) >= 1000000000:
print("WARNING!!!", fname, conn_id, flow_id, bytes_total, file=log_file)
if delta <= min_delta:
# Initial subflows
bytes_init_sfs += flow.attr[direction].get(co.BYTES, 0)
if delta == 0.0:
# Initial subflow
bytes_init_sf += flow.attr[direction].get(co.BYTES, 0)
# Log those values in the log file
print("DELTA HANDOVER IN FILE delta_handover")
co.save_data("delta_handover", sums_dir_exp, time_handover)
print("REACT HANDOVER IN FILE react_handover")
co.save_data("react_handover", sums_dir_exp, react_handover)
print("REACT HANDOVER IN FILE time_handover_conn")
co.save_data("time_handover_conn", sums_dir_exp, time_handover_conn)
print("REACT HANDOVER IN FILE time_handover_conn_info")
co.save_data("time_handover_conn_info", sums_dir_exp, time_handover_conn_info)
print("SECOND SF HANDOVER IN FILE second_sf_handover")
co.save_data("second_sf_handover", sums_dir_exp, second_sf_handover)
print("QUANTIFY HANDOVER", file=log_file)
print(bytes_init_sf, "BYTES ON INIT SF", bytes_init_sf * 100 / bytes_total, "%", file=log_file)
print(bytes_init_sfs, "BYTES ON INIT SFS", bytes_init_sfs * 100 / bytes_total, "%", file=log_file)
print("TOTAL BYTES", bytes_total, file=log_file)
print("<= 200ms", less_200ms, less_200ms * 100.0 / len(syn_additional_sfs), "%")
print("<= 1s", less_1s, less_1s * 100.0 / len(syn_additional_sfs), "%")
print(">= 60s", more_60s, more_60s * 100.0 / len(syn_additional_sfs), "%")
print(">= 3600s", more_3600s, more_3600s * 100.0 / len(syn_additional_sfs), "%")
print("<= 200ms second", less_200ms_second, less_200ms_second * 100.0 / len(syn_first_additional_sf), "%")
print("<= 1s second", less_1s_second, less_1s_second * 100.0 / len(syn_first_additional_sf), "%")
print(">= 60s second", more_60s_second, more_60s_second * 100.0 / len(syn_first_additional_sf), "%")
print(">= 3600s second", more_3600s_second, more_3600s_second * 100.0 / len(syn_first_additional_sf), "%")
plot(connections, multiflow_connections, sums_dir_exp)