def process_video_sent_pt(self, pt, ts, session):
video_ts = int(pt['video_ts'])
self.out[session][video_ts] = {}
sv = self.out[session][video_ts] # short name
sv['sent_ts'] = ts
sv['format'] = pt['format']
sv['size'] = float(pt['size']) # bytes
sv['delivery_rate'] = float(pt['delivery_rate']) # byte/second
sv['cwnd'] = float(pt['cwnd']) # packets
sv['in_flight'] = float(pt['in_flight']) # packets
sv['min_rtt'] = float(pt['min_rtt']) / MILLION # us -> s
sv['rtt'] = float(pt['rtt']) / MILLION # us -> s
sv['ssim_index'] = get_ssim_index(pt) # unitless
sv['channel'] = pt['channel']
def do_collect_ssim(s_str, e_str, d):
sys.stderr.write('Processing video_acked data between {} and {}\n'
.format(s_str, e_str))
video_acked_results = query_measurement(
influx_client, 'video_acked', s_str, e_str)['video_acked']
for pt in video_acked_results:
expt_id = str(pt['expt_id'])
expt_config = retrieve_expt_config(expt_id, expt, postgres_cursor)
abr_cc = get_abr_cc(expt_config)
if abr_cc not in d:
d[abr_cc] = [0.0, 0] # sum, count
ssim_index = get_ssim_index(pt)
if ssim_index is not None and ssim_index != 1:
d[abr_cc][0] += ssim_index
d[abr_cc][1] += 1
def process_video_sent_pt(self, pt, ts, session):
video_ts = int(pt['video_ts'])
if video_ts in self.out[session]:
sys.exit(
'VideoStream: video_ts {} already exists in session {}'.format(
video_ts, session))
self.out[session][video_ts] = {}
sv = self.out[session][video_ts] # short name
sv['sent_ts'] = ts # np.datetime64
sv['format'] = pt['format'] # e.g., '1280x720-24'
sv['size'] = float(pt['size']) # bytes
sv['delivery_rate'] = float(pt['delivery_rate']) # byte/second
sv['cwnd'] = float(pt['cwnd']) # packets
sv['in_flight'] = float(pt['in_flight']) # packets
sv['min_rtt'] = float(pt['min_rtt']) / MILLION # us -> s
sv['rtt'] = float(pt['rtt']) / MILLION # us -> s
sv['ssim_index'] = get_ssim_index(pt) # unitless float
sv['channel'] = pt['channel'] # e.g., 'cbs'
def do_collect_ssim(video_acked_results, expt_id_cache, postgres_cursor):
# process InfluxDB data
x = {}
for pt in video_acked_results['video_acked']:
expt_id = get_expt_id(pt)
expt_config = retrieve_expt_config(expt_id, expt_id_cache,
postgres_cursor)
abr_cc = get_abr_cc(expt_config)
if abr_cc not in x:
x[abr_cc] = []
ssim_index = get_ssim_index(pt)
if ssim_index is not None:
x[abr_cc].append(ssim_index)
# calculate average SSIM in dB
for abr_cc in x:
avg_ssim_index = np.mean(x[abr_cc])
avg_ssim_db = ssim_index_to_db(avg_ssim_index)
x[abr_cc] = avg_ssim_db
return x
def collect_ssim(video_acked_results, postgres_cursor):
# process InfluxDB data
x = {}
for pt in video_acked_results['video_acked']:
expt_id = int(pt['expt_id'])
expt_config = retrieve_expt_config(expt_id, expt_id_cache,
postgres_cursor)
# index x by (abr, cc)
abr_cc = (expt_config['abr'], expt_config['cc'])
if abr_cc not in x:
x[abr_cc] = []
ssim_index = get_ssim_index(pt)
if ssim_index is not None:
x[abr_cc].append(ssim_index)
# calculate average SSIM in dB
ssim = {}
for abr_cc in x:
avg_ssim_index = np.mean(x[abr_cc])
avg_ssim_db = ssim_index_to_db(avg_ssim_index)
ssim[abr_cc] = avg_ssim_db
return ssim