def plot_accumulated_data_netflix(input_file, home_ip, website, platform, y_limit, show=False):
data = generate_data(input_file, home_ip, website=website, protocols=['TCP'])
all_stream_data = data['all_streams']
# all_stream_data['time'] = filter(lambda x: x[0] < 50, all_stream_data['time'])
if platform == 'android':
first_stream_id, first_stream_data = sorted(data.items(), cmp=lambda x, y: x[1]['total'] - y[1]['total'], reverse=True)[1]
second_stream_id, second_stream_data = sorted(data.items(), cmp=lambda x, y: x[1]['total'] - y[1]['total'], reverse=True)[2]
third_stream_id, third_stream_data = sorted(data.items(), cmp=lambda x, y: x[1]['total'] - y[1]['total'], reverse=True)[3]
fig, ax = plt.subplots()
ax.set_ylabel('accumulated data')
ax.set_xlabel('time, s')
if y_limit is not None:
fn, tix = make_storage_ticks(filter(lambda x: x < y_limit, map(lambda x: x[1], all_stream_data['time'])))
else:
fn, tix = make_storage_ticks(map(lambda x: x[1], all_stream_data['time']))
ax.yaxis.set_major_formatter(fn)
plt.yticks(tix)
red_line = plt.plot(map(lambda x: x[1], all_stream_data['time']), color='red')
if platform == 'android':
blue_line = plt.plot(map(lambda x: x[1], first_stream_data['time']), color='blue')
green_line = plt.plot(map(lambda x: x[1], second_stream_data['time']), color='green')
orange_line = plt.plot(map(lambda x: x[1], third_stream_data['time']), color='orange')
plt.legend([red_line[0], blue_line[0], green_line[0], orange_line[0]], map(pretty_name(website), ['{} combined traffic', '{} first stream', '{} second stream', '{} third stream']))
else:
plt.legend([red_line[0]], map(pretty_name(website), ['{} combined traffic']))
if y_limit is not None:
plt.ylim(0, y_limit)
plt.savefig('{}_{}_accumulated_data{}.svg'.format(website, platform, '_limited' if y_limit is not None else ''))
if show:
plt.show()
def flow_plot_both(android_file, android_ip, chrome_file, chrome_ip, website, is_incoming=True, show=False):
android_y = generate_flow_plot_data(android_file, android_ip, website, is_incoming)
chrome_y = generate_flow_plot_data(chrome_file, chrome_ip, website, is_incoming)
fig, ax = plt.subplots()
ax.set_ylabel("# of open connections")
ax.set_xlabel("time, s")
plt.tight_layout()
android_line = plt.plot(android_y, color="blue")
chrome_line = plt.plot(chrome_y, color="red")
plt.legend([android_line[0], chrome_line[0]], map(pretty_name(website), ["{} Android", "{} Chrome"]))
plt.savefig(pretty_name(website)("{}_android_chrome_flow_plot_over_time.svg"))
if show:
plt.show()
plt.clf()
def plot_accumulated_data(input_file, home_ip, website, platform, show=False):
data = generate_data(input_file, home_ip, website=website, protocols=["TCP"])
all_stream_data = data["all_streams"]
video_stream_id, video_stream_data = sorted(
data.items(), cmp=lambda x, y: x[1]["total"] - y[1]["total"], reverse=True
)[1]
audio_stream_id, audio_stream_data = sorted(
data.items(), cmp=lambda x, y: x[1]["total"] - y[1]["total"], reverse=True
)[2]
fig, ax = plt.subplots()
ax.set_ylabel("accumulated data")
ax.set_xlabel("time, s")
fn, tix = make_storage_ticks(map(lambda x: x[1], all_stream_data["time"]))
ax.yaxis.set_major_formatter(fn)
plt.yticks(tix)
red_line = plt.plot(map(lambda x: x[1], all_stream_data["time"]), color="red")
blue_line = plt.plot(map(lambda x: x[1], video_stream_data["time"]), color="blue")
green_line = plt.plot(map(lambda x: x[1], audio_stream_data["time"]), color="green")
plt.legend(
[red_line[0], blue_line[0], green_line[0]],
map(pretty_name(website), ["{} combined traffic", "{} video traffic", "{} audio traffic"]),
loc=4,
)
plt.savefig("{}_{}_accumulated_data.svg".format(website, platform))
if show:
plt.show()
def top_flows_chart(chrome_file,
android_file,
chrome_ip,
android_ip,
website,
is_incoming,
chrome_color='red',
android_color='blue',
ax=None):
"""
Draws a plot of how much traffic transferred per flow.
:return:
"""
chrome_data, chrome_shortened = generate_data(chrome_file, chrome_ip,
website, is_incoming)
chrome_data = map(lambda x: x[1], chrome_data)
android_data, android_shortened = generate_data(android_file, android_ip,
website, is_incoming)
android_data = map(lambda x: x[1], android_data)
# android_data = scale_data(android_data, sum(chrome_data), 1)
num_values = max(len(chrome_data), len(android_data))
shortened = chrome_shortened if len(chrome_data) > len(
android_data) else android_shortened
labels = ['Conn. {0}'.format(i + 1) for i in xrange(num_values)]
if shortened:
labels[-1] = 'Rest'
ind = np.array(
map(lambda x: x + 0.15,
np.arange(num_values))) # the x locations for the groups
width = 0.35 # the width of the bars
if ax is None:
fig, ax = plt.subplots()
print chrome_data
chrome_bars = ax.bar(ind, chrome_data, width, color=chrome_color)
print android_data
android_bars = ax.bar(ind + width,
android_data,
width,
color=android_color)
ax.legend((chrome_bars[0], android_bars[0]),
map(pretty_name(website), ['{} Chrome', '{} Android']))
# add some text for labels, title and axes ticks
ax.set_ylabel('Data transferred')
ax.set_xlabel('Connection')
fn, tix = make_storage_ticks(chrome_data)
ax.yaxis.set_major_formatter(fn)
plt.yticks(tix)
ax.set_xticks(ind + width)
ax.set_xticklabels(labels)
plt.tight_layout()
def plot_accumulated_data_netflix(input_file, home_ip, website, platform, y_limit, show=False):
data = generate_data(input_file, home_ip, website=website, protocols=["TCP"])
all_stream_data = data["all_streams"]
# all_stream_data['time'] = filter(lambda x: x[0] < 50, all_stream_data['time'])
if platform == "android":
first_stream_id, first_stream_data = sorted(
data.items(), cmp=lambda x, y: x[1]["total"] - y[1]["total"], reverse=True
)[1]
second_stream_id, second_stream_data = sorted(
data.items(), cmp=lambda x, y: x[1]["total"] - y[1]["total"], reverse=True
)[2]
third_stream_id, third_stream_data = sorted(
data.items(), cmp=lambda x, y: x[1]["total"] - y[1]["total"], reverse=True
)[3]
fig, ax = plt.subplots()
ax.set_ylabel("accumulated data")
ax.set_xlabel("time, s")
if y_limit is not None:
fn, tix = make_storage_ticks(filter(lambda x: x < y_limit, map(lambda x: x[1], all_stream_data["time"])))
else:
fn, tix = make_storage_ticks(map(lambda x: x[1], all_stream_data["time"]))
ax.yaxis.set_major_formatter(fn)
plt.yticks(tix)
red_line = plt.plot(map(lambda x: x[1], all_stream_data["time"]), color="red")
if platform == "android":
blue_line = plt.plot(map(lambda x: x[1], first_stream_data["time"]), color="blue")
green_line = plt.plot(map(lambda x: x[1], second_stream_data["time"]), color="green")
orange_line = plt.plot(map(lambda x: x[1], third_stream_data["time"]), color="orange")
plt.legend(
[red_line[0], blue_line[0], green_line[0], orange_line[0]],
map(
pretty_name(website), ["{} combined traffic", "{} first stream", "{} second stream", "{} third stream"]
),
)
else:
plt.legend([red_line[0]], map(pretty_name(website), ["{} combined traffic"]))
if y_limit is not None:
plt.ylim(0, y_limit)
plt.savefig("{}_{}_accumulated_data{}.svg".format(website, platform, "_limited" if y_limit is not None else ""))
if show:
plt.show()
def bitrate_cdf_plot(android_file, chrome_file, android_ip, chrome_ip, website, quic_file=None, show=False):
with_quic = quic_file is not None
# generate data
chrome_byte_rate_list = generate_bitrate_plot_data(chrome_file, chrome_ip, website, is_incoming=True)
android_byte_rate_list = generate_bitrate_plot_data(android_file, android_ip, website, is_incoming=True)
if with_quic:
quic_byte_rate_list = generate_bitrate_plot_data(quic_file, chrome_ip, website, is_incoming=True, protocols=['TCP', 'UDP'])
chrome_x_values, chrome_y_values = get_x_y_values(chrome_byte_rate_list)
ax, line1 = cdf_plot(chrome_x_values, chrome_y_values, color='red', is_log=False)
if with_quic:
quic_x_values, quic_y_values = get_x_y_values(quic_byte_rate_list)
ax, line2 = cdf_plot(quic_x_values, quic_y_values, color='green', ax=ax, is_log=False)
android_x_values, android_y_values = get_x_y_values(android_byte_rate_list)
ax, line3 = cdf_plot(android_x_values, android_y_values, color='blue', ax=ax, is_log=False)
if with_quic:
plt.legend([line1[0], line2[0], line3[0]], map(pretty_name(website), ['{} Chrome (TCP)', '{} Chrome (QUIC)', '{} Android (TCP)']), loc=4)
else:
plt.legend([line1[0], line3[0]], map(pretty_name(website), ['{} Chrome (TCP)', '{} Android (TCP)']), loc=4)
plt.savefig('{}_android_bitrate.svg'.format(website))
if show:
plt.show()
plt.clf()
ax, line1 = cdf_plot(chrome_x_values, chrome_y_values, color='red', is_log=True)
if with_quic:
ax, line2 = cdf_plot(quic_x_values, quic_y_values, color='green', ax=ax, is_log=True)
ax, line3 = cdf_plot(android_x_values, android_y_values, color='blue', ax=ax, is_log=True)
if with_quic:
plt.legend([line1[0], line2[0], line3[0]], map(pretty_name(website), ['{} Chrome (TCP)', '{} Chrome (QUIC)', '{} Android (TCP)']), loc=4)
else:
plt.legend([line1[0], line3[0]], map(pretty_name(website), ['{} Chrome (TCP)', '{} Android (TCP)']), loc=4)
plt.savefig('{}_android_bitrate_log.svg'.format(website))
if show:
plt.show()
plt.clf()
def cdf_plot_both(android_file,
android_ip,
chrome_file,
chrome_ip,
website,
is_incoming=True,
show=False):
android_y_values = generate_flow_plot_data(android_file, android_ip,
website, is_incoming)
android_x_values = sorted(android_y_values)
android_y_values = np.arange(len(android_x_values)) / float(
len(android_x_values))
chrome_y_values = generate_flow_plot_data(chrome_file, chrome_ip, website,
is_incoming)
chrome_x_values = sorted(chrome_y_values)
chrome_y_values = np.arange(len(chrome_x_values)) / float(
len(chrome_x_values))
fig, ax = plt.subplots()
ax.set_yticklabels(['{:3}%'.format(x * 100) for x in ax.get_yticks()])
ax.set_ylabel('% Total')
ax.set_xlabel('Number of connections')
plt.tight_layout()
android_line = plt.plot(android_x_values, android_y_values, color='blue')
chrome_line = plt.plot(chrome_x_values, chrome_y_values, color='red')
loc = 2 if website == 'youtube.com' else 4
plt.legend([android_line[0], chrome_line[0]],
map(pretty_name(website), ['{} Android', '{} Chrome']),
loc=loc)
plt.savefig(pretty_name(website)('{}_android_chrome_connections_cdf.svg'))
if show:
plt.show()
plt.clf()
def flow_plot_both(android_file,
android_ip,
chrome_file,
chrome_ip,
website,
is_incoming=True,
show=False):
android_y = generate_flow_plot_data(android_file, android_ip, website,
is_incoming)
chrome_y = generate_flow_plot_data(chrome_file, chrome_ip, website,
is_incoming)
fig, ax = plt.subplots()
ax.set_ylabel('# of open connections')
ax.set_xlabel('time, s')
plt.tight_layout()
android_line = plt.plot(android_y, color='blue')
chrome_line = plt.plot(chrome_y, color='red')
plt.legend([android_line[0], chrome_line[0]],
map(pretty_name(website), ['{} Android', '{} Chrome']))
plt.savefig(
pretty_name(website)('{}_android_chrome_flow_plot_over_time.svg'))
if show:
plt.show()
plt.clf()
def cdf_plot_both(android_file, android_ip, chrome_file, chrome_ip, website, is_incoming=True, show=False):
android_y_values = generate_flow_plot_data(android_file, android_ip, website, is_incoming)
android_x_values = sorted(android_y_values)
android_y_values = np.arange(len(android_x_values)) / float(len(android_x_values))
chrome_y_values = generate_flow_plot_data(chrome_file, chrome_ip, website, is_incoming)
chrome_x_values = sorted(chrome_y_values)
chrome_y_values = np.arange(len(chrome_x_values)) / float(len(chrome_x_values))
fig, ax = plt.subplots()
ax.set_yticklabels(["{:3}%".format(x * 100) for x in ax.get_yticks()])
ax.set_ylabel("% Total")
ax.set_xlabel("Number of connections")
plt.tight_layout()
android_line = plt.plot(android_x_values, android_y_values, color="blue")
chrome_line = plt.plot(chrome_x_values, chrome_y_values, color="red")
loc = 2 if website == "youtube.com" else 4
plt.legend([android_line[0], chrome_line[0]], map(pretty_name(website), ["{} Android", "{} Chrome"]), loc=loc)
plt.savefig(pretty_name(website)("{}_android_chrome_connections_cdf.svg"))
if show:
plt.show()
plt.clf()
def in_out_android_chrome(android_file, android_ip, chrome_file, chrome_ip, website, tso, is_incoming, show):
use_log = is_incoming and not tso
data_points_android, _ = get_packet_length_data(android_file, android_ip, website, is_incoming=is_incoming, tso=tso, need_ids=False)
print_things('data_points_android', data_points_android)
data_points_android = filter(lambda x: x != 1500, data_points_android)
ax = plot_packet_length(data_points_android, color='blue', use_log=use_log, storage_units=use_log)
data_points_chrome, _ = get_packet_length_data(chrome_file, chrome_ip, website, is_incoming=is_incoming, tso=tso, need_ids=False)
data_points_chrome = filter(lambda x: x != 1500 and x != 1480, data_points_chrome)
plot_packet_length(data_points_chrome, color='red', ax=ax, use_log=use_log, storage_units=use_log)
print_things('data_points_chrome', data_points_chrome)
name = pretty_name(website)('{}')
output_file = '{}_{}_packet_length_android_chrome{}.svg'.format(name, 'in' if is_incoming else 'out', '_tso' if tso else '')
plt.savefig(output_file)
if show:
plt.show()
plt.clf()
def top_flows_chart(chrome_file, android_file, chrome_ip, android_ip, website, is_incoming,
chrome_color='red', android_color='blue', ax=None):
"""
Draws a plot of how much traffic transferred per flow.
:return:
"""
chrome_data, chrome_shortened = generate_data(chrome_file, chrome_ip, website, is_incoming)
chrome_data = map(lambda x: x[1], chrome_data)
android_data, android_shortened = generate_data(android_file, android_ip, website, is_incoming)
android_data = map(lambda x: x[1], android_data)
# android_data = scale_data(android_data, sum(chrome_data), 1)
num_values = max(len(chrome_data), len(android_data))
shortened = chrome_shortened if len(chrome_data) > len(android_data) else android_shortened
labels = ['Conn. {0}'.format(i + 1) for i in xrange(num_values)]
if shortened:
labels[-1] = 'Rest'
ind = np.array(map(lambda x: x + 0.15, np.arange(num_values))) # the x locations for the groups
width = 0.35 # the width of the bars
if ax is None:
fig, ax = plt.subplots()
print chrome_data
chrome_bars = ax.bar(ind, chrome_data, width, color=chrome_color)
print android_data
android_bars = ax.bar(ind + width, android_data, width, color=android_color)
ax.legend((chrome_bars[0], android_bars[0]), map(pretty_name(website), ['{} Chrome', '{} Android']))
# add some text for labels, title and axes ticks
ax.set_ylabel('Data transferred')
ax.set_xlabel('Connection')
fn, tix = make_storage_ticks(chrome_data)
ax.yaxis.set_major_formatter(fn)
plt.yticks(tix)
ax.set_xticks(ind + width)
ax.set_xticklabels(labels)
plt.tight_layout()
def plot_accumulated_data(input_file, home_ip, website, platform, show=False):
data = generate_data(input_file, home_ip, website=website, protocols=['TCP'])
all_stream_data = data['all_streams']
video_stream_id, video_stream_data = sorted(data.items(), cmp=lambda x, y: x[1]['total'] - y[1]['total'], reverse=True)[1]
audio_stream_id, audio_stream_data = sorted(data.items(), cmp=lambda x, y: x[1]['total'] - y[1]['total'], reverse=True)[2]
fig, ax = plt.subplots()
ax.set_ylabel('accumulated data')
ax.set_xlabel('time, s')
fn, tix = make_storage_ticks(map(lambda x: x[1], all_stream_data['time']))
ax.yaxis.set_major_formatter(fn)
plt.yticks(tix)
red_line = plt.plot(map(lambda x: x[1], all_stream_data['time']), color='red')
blue_line = plt.plot(map(lambda x: x[1], video_stream_data['time']), color='blue')
green_line = plt.plot(map(lambda x: x[1], audio_stream_data['time']), color='green')
plt.legend([red_line[0], blue_line[0], green_line[0]], map(pretty_name(website), ['{} combined traffic', '{} video traffic', '{} audio traffic']), loc=4)
plt.savefig('{}_{}_accumulated_data.svg'.format(website, platform))
if show:
plt.show()
def in_out_android_chrome(android_file, android_ip, chrome_file, chrome_ip,
website, tso, is_incoming, show):
use_log = is_incoming and not tso
data_points_android, _ = get_packet_length_data(android_file,
android_ip,
website,
is_incoming=is_incoming,
tso=tso,
need_ids=False)
print_things('data_points_android', data_points_android)
data_points_android = filter(lambda x: x != 1500, data_points_android)
ax = plot_packet_length(data_points_android,
color='blue',
use_log=use_log,
storage_units=use_log)
data_points_chrome, _ = get_packet_length_data(chrome_file,
chrome_ip,
website,
is_incoming=is_incoming,
tso=tso,
need_ids=False)
data_points_chrome = filter(lambda x: x != 1500 and x != 1480,
data_points_chrome)
plot_packet_length(data_points_chrome,
color='red',
ax=ax,
use_log=use_log,
storage_units=use_log)
print_things('data_points_chrome', data_points_chrome)
name = pretty_name(website)('{}')
output_file = '{}_{}_packet_length_android_chrome{}.svg'.format(
name, 'in' if is_incoming else 'out', '_tso' if tso else '')
plt.savefig(output_file)
if show:
plt.show()
plt.clf()
def bitrate_cdf_plot(android_file,
chrome_file,
android_ip,
chrome_ip,
website,
quic_file=None,
show=False):
with_quic = quic_file is not None
# generate data
chrome_byte_rate_list = generate_bitrate_plot_data(chrome_file,
chrome_ip,
website,
is_incoming=True)
android_byte_rate_list = generate_bitrate_plot_data(android_file,
android_ip,
website,
is_incoming=True)
if with_quic:
quic_byte_rate_list = generate_bitrate_plot_data(
quic_file,
chrome_ip,
website,
is_incoming=True,
protocols=['TCP', 'UDP'])
chrome_x_values, chrome_y_values = get_x_y_values(chrome_byte_rate_list)
ax, line1 = cdf_plot(chrome_x_values,
chrome_y_values,
color='red',
is_log=False)
if with_quic:
quic_x_values, quic_y_values = get_x_y_values(quic_byte_rate_list)
ax, line2 = cdf_plot(quic_x_values,
quic_y_values,
color='green',
ax=ax,
is_log=False)
android_x_values, android_y_values = get_x_y_values(android_byte_rate_list)
ax, line3 = cdf_plot(android_x_values,
android_y_values,
color='blue',
ax=ax,
is_log=False)
if with_quic:
plt.legend(
[line1[0], line2[0], line3[0]],
map(pretty_name(website),
['{} Chrome (TCP)', '{} Chrome (QUIC)', '{} Android (TCP)']),
loc=4)
else:
plt.legend([line1[0], line3[0]],
map(pretty_name(website),
['{} Chrome (TCP)', '{} Android (TCP)']),
loc=4)
plt.savefig('{}_android_bitrate.svg'.format(website))
if show:
plt.show()
plt.clf()
ax, line1 = cdf_plot(chrome_x_values,
chrome_y_values,
color='red',
is_log=True)
if with_quic:
ax, line2 = cdf_plot(quic_x_values,
quic_y_values,
color='green',
ax=ax,
is_log=True)
ax, line3 = cdf_plot(android_x_values,
android_y_values,
color='blue',
ax=ax,
is_log=True)
if with_quic:
plt.legend(
[line1[0], line2[0], line3[0]],
map(pretty_name(website),
['{} Chrome (TCP)', '{} Chrome (QUIC)', '{} Android (TCP)']),
loc=4)
else:
plt.legend([line1[0], line3[0]],
map(pretty_name(website),
['{} Chrome (TCP)', '{} Android (TCP)']),
loc=4)
plt.savefig('{}_android_bitrate_log.svg'.format(website))
if show:
plt.show()
plt.clf()
