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initial_subflow_data_handover_cdf.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 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 ##
##################################################
INITIAL_SF = 'Initial SF'
INITIAL_SFS = '2 Initial SFs'
nb_conns = 0
nb_bytes = {co.C2S: 0, co.S2C: 0}
count_handover = 0
results = {co.C2S: {INITIAL_SF: [], INITIAL_SFS: []}, co.S2C: {INITIAL_SF: [], INITIAL_SFS: []}}
for fname, conns in multiflow_connections.iteritems():
for conn_id, conn in conns.iteritems():
# Restrict to connections using at least 2 SFs
take = False
nb_flows = 0
for flow_id, flow in conn.flows.iteritems():
if flow.attr[co.C2S].get(co.BYTES, 0) > 0 or flow.attr[co.S2C].get(co.BYTES, 0) > 0:
nb_flows += 1
if nb_flows >= 2:
take = True
if take:
# Detect now if there is handover
initial_sf_ts = float('inf')
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]
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
min_delta = float('inf')
for flow_id, flow in conn.flows.iteritems():
if handover_detected or 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_TCP] for direction in co.DIRECTIONS])
# handover_delta = flow.attr[co.START] + max_last_payload - min_last_acks
handover_delta = max_last_payload - min_last_acks
if delta > 0.0 and handover_delta > 0.0:
# A subflow is established after the last ack of the client seen --> Handover
count_handover += 1
handover_detected = True
if handover_detected:
conn_bytes_tcp = 0
time_initial_sf = float('inf')
flow_id_initial_sf = None
for flow_id, flow in conn.flows.iteritems():
if flow.attr.get(co.START, float('inf')) < time_initial_sf:
time_initial_sf = flow.attr[co.START]
flow_id_initial_sf = flow_id
if not isinstance(flow_id_initial_sf, int):
continue
# time_second_sf = float('inf')
# flow_id_second_sf = None
# for flow_id, flow in conn.flows.iteritems():
# if not flow_id == flow_id_initial_sf:
# if flow.attr.get(co.START, float('inf')) < time_second_sf:
# time_second_sf = flow.attr[co.START]
# flow_id_second_sf = flow_id
#
# if not isinstance(flow_id_second_sf, int):
# continue
nb_conns += 1
for direction in co.DIRECTIONS:
# First count number of total data bytes
conn_bytes_tcp = 0
for flow_id, flow in conn.flows.iteritems():
conn_bytes_tcp += flow.attr[direction].get(co.BYTES, 0)
if conn_bytes_tcp <= 0:
break
nb_bytes[direction] += conn_bytes_tcp
bytes_initial_sf = conn.flows[flow_id_initial_sf].attr[direction].get(co.BYTES, 0) + 0.0
# bytes_initial_sfs = bytes_initial_sf + conn.flows[flow_id_second_sf].attr[direction].get(co.BYTES_DATA, 0) + 0.0
results[direction][INITIAL_SF].append((bytes_initial_sf + 0.0) / conn_bytes_tcp)
# results[direction][INITIAL_SFS].append((bytes_initial_sfs + 0.0) / conn_bytes_tcp)
base_graph_name = 'initial_sf_bytes_handover_'
color = {INITIAL_SF: 'red', INITIAL_SFS: 'blue'}
ls = {INITIAL_SFS: '--', INITIAL_SF: '-'}
for direction in co.DIRECTIONS:
plt.figure()
plt.clf()
fig, ax = plt.subplots()
graph_fname = os.path.splitext(base_graph_name)[0] + "cdf_" + direction + ".pdf"
graph_full_path = os.path.join(sums_dir_exp, graph_fname)
for label in [INITIAL_SF]:
sample = np.array(sorted(results[direction][label]))
sorted_array = np.sort(sample)
yvals = np.arange(len(sorted_array)) / float(len(sorted_array))
if len(sorted_array) > 0:
# Add a last point
sorted_array = np.append(sorted_array, sorted_array[-1])
yvals = np.append(yvals, 1.0)
ax.plot(sorted_array, yvals, color=color[label], linestyle=ls[label], linewidth=2, label=label)
# 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='best')
plt.xlabel('Fraction of total unique bytes', fontsize=24)
plt.ylabel("CDF", fontsize=24)
plt.savefig(graph_full_path)
plt.close('all')
print("NB CONNS: ", nb_conns)
print("NB BYTES: ", nb_bytes)
print(count_handover)