def chunks_both_real_fake(show=False):
input_file = 'chrome_combined_dataset.csv'
fake_chunks = get_chunk_data_10(True)
fake_chunk_sizes = map(lambda x: x[0], fake_chunks)
fake_x_values = sorted(list(set(fake_chunk_sizes)))
fake_y_values = [len(filter(lambda x: x <= chunk_size, fake_chunk_sizes)) for chunk_size in fake_x_values]
fake_y_values = map(lambda x: x / float(len(fake_chunk_sizes)), fake_y_values)
real_chunks = youtube_get_chunk_size_data(input_file)
real_chunks = map(lambda x: x[0], reduce(lambda x, y: x + y, map(lambda x: x[1], real_chunks.items()), []))
real_x_values = sorted(list(set(real_chunks)))
real_y_values = [len(filter(lambda x: x <= chunk_size, real_chunks)) for chunk_size in real_x_values]
real_y_values = map(lambda x: x / float(len(real_chunks)), real_y_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('Chunk size')
ax.get_xaxis().set_major_formatter(FuncFormatter(storage_formatter_factory()))
ax.set_xticks(map(lambda x: x * 1024, [0, 512, 1024, 1024 + 512, 2048, 2048 + 512]))
fake_line = plt.plot(fake_x_values, fake_y_values, color='blue')
real_line = plt.plot(real_x_values, real_y_values, color='red')
plt.legend([fake_line[0], real_line[0]], ['Clustering', 'From URLs'], loc=4)
plt.savefig('chunk_sizes_both.svg')
if show:
plt.show()
plt.clf()
def youtube_plot_interarrival_time(is_log=False, show=False):
android_chunks = get_chunk_data_10(is_chrome=False, threshold=0.11)
android_timestamps = map(lambda x: x[1], android_chunks)
android_inter_arrival_times = map(
lambda x: x[0] - x[1],
zip(android_timestamps[1:], android_timestamps[:-1]))
android_inter_arrival_times = filter(lambda x: 0 <= x < 30,
android_inter_arrival_times)
android_x_values = sorted(android_inter_arrival_times)
android_y_values = [
len(filter(lambda x: x <= time, android_inter_arrival_times))
for time in android_x_values
]
android_y_values = map(
lambda x: x / float(len(android_inter_arrival_times)),
android_y_values)
chrome_file = 'chrome_combined_dataset.csv'
chrome_data = youtube_get_chunk_size_data(chrome_file)
chrome_timestamps = map(
lambda x: x[1],
reduce(lambda x, y: x + y, map(lambda x: x[1], chrome_data.items()),
[]))
chrome_inter_arrival_times = map(
lambda x: x[0] - x[1],
zip(chrome_timestamps[1:], chrome_timestamps[:-1]))
chrome_inter_arrival_times = filter(lambda x: 0 <= x < 30,
chrome_inter_arrival_times)
chrome_x_values = sorted(chrome_inter_arrival_times)
chrome_y_values = [
len(filter(lambda x: x <= time, chrome_inter_arrival_times))
for time in chrome_x_values
]
chrome_y_values = map(lambda x: x / float(len(chrome_inter_arrival_times)),
chrome_y_values)
fig, ax = plt.subplots()
ax.set_ylabel('CDF')
ax.set_xlabel('Interarrival time (s)')
if is_log:
ax.set_xscale('log')
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 is_log else 4
plt.legend([android_line[0], chrome_line[0]],
['YouTube Android', 'YouTube Chrome'],
loc=loc)
ax.set_yticklabels(['{:3}%'.format(x * 100) for x in ax.get_yticks()])
plt.savefig(
'youtube_inter_arrival_times{}.svg'.format('_log' if is_log else ''))
if show:
plt.show()
plt.clf()
def chunks_both_real_fake(show=False):
input_file = 'chrome_combined_dataset.csv'
fake_chunks = get_chunk_data_10(True)
fake_chunk_sizes = map(lambda x: x[0], fake_chunks)
fake_x_values = sorted(list(set(fake_chunk_sizes)))
fake_y_values = [
len(filter(lambda x: x <= chunk_size, fake_chunk_sizes))
for chunk_size in fake_x_values
]
fake_y_values = map(lambda x: x / float(len(fake_chunk_sizes)),
fake_y_values)
real_chunks = youtube_get_chunk_size_data(input_file)
real_chunks = map(
lambda x: x[0],
reduce(lambda x, y: x + y, map(lambda x: x[1], real_chunks.items()),
[]))
real_x_values = sorted(list(set(real_chunks)))
real_y_values = [
len(filter(lambda x: x <= chunk_size, real_chunks))
for chunk_size in real_x_values
]
real_y_values = map(lambda x: x / float(len(real_chunks)), real_y_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('Chunk size')
ax.get_xaxis().set_major_formatter(
FuncFormatter(storage_formatter_factory()))
ax.set_xticks(
map(lambda x: x * 1024, [0, 512, 1024, 1024 + 512, 2048, 2048 + 512]))
fake_line = plt.plot(fake_x_values, fake_y_values, color='blue')
real_line = plt.plot(real_x_values, real_y_values, color='red')
plt.legend([fake_line[0], real_line[0]], ['Clustering', 'From URLs'],
loc=4)
plt.savefig('chunk_sizes_both.svg')
if show:
plt.show()
plt.clf()
def youtube_plot_interarrival_time(is_log=False, show=False):
android_chunks = get_chunk_data_10(is_chrome=False, threshold=0.11)
android_timestamps = map(lambda x: x[1], android_chunks)
android_inter_arrival_times = map(lambda x: x[0]-x[1], zip(android_timestamps[1:], android_timestamps[:-1]))
android_inter_arrival_times = filter(lambda x: 0 <= x < 30, android_inter_arrival_times)
android_x_values = sorted(android_inter_arrival_times)
android_y_values = [len(filter(lambda x: x <= time, android_inter_arrival_times)) for time in android_x_values]
android_y_values = map(lambda x: x / float(len(android_inter_arrival_times)), android_y_values)
chrome_file = 'chrome_combined_dataset.csv'
chrome_data = youtube_get_chunk_size_data(chrome_file)
chrome_timestamps = map(lambda x: x[1], reduce(lambda x, y: x + y, map(lambda x: x[1], chrome_data.items()), []))
chrome_inter_arrival_times = map(lambda x: x[0] - x[1], zip(chrome_timestamps[1:], chrome_timestamps[:-1]))
chrome_inter_arrival_times = filter(lambda x: 0 <= x < 30, chrome_inter_arrival_times)
chrome_x_values = sorted(chrome_inter_arrival_times)
chrome_y_values = [len(filter(lambda x: x <= time, chrome_inter_arrival_times)) for time in chrome_x_values]
chrome_y_values = map(lambda x: x / float(len(chrome_inter_arrival_times)), chrome_y_values)
fig, ax = plt.subplots()
ax.set_ylabel('CDF')
ax.set_xlabel('Interarrival time (s)')
if is_log:
ax.set_xscale('log')
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 is_log else 4
plt.legend([android_line[0], chrome_line[0]], ['YouTube Android', 'YouTube Chrome'], loc=loc)
ax.set_yticklabels(['{:3}%'.format(x * 100) for x in ax.get_yticks()])
plt.savefig('youtube_inter_arrival_times{}.svg'.format('_log' if is_log else ''))
if show:
plt.show()
plt.clf()
