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test_Bitrate_Buffer_Latency_etc.py
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import fixed_env as env
import load_trace as load_trace
import os
import time as tm
import csv
import tensorflow as tf
def test(user_id):
#1 Algorithm Setting: RBA, BBA, DYNAMIC, PDDQN, Pensieve
ABR_NAME = 'PDDQN'
#2 QoE Setting: ar, al, hd, b, max
QoE = 'ar'
#3 Network Dataset: high, medium, low, fixed
NETWORK_TRACE = 'low'
#4 Video Dataset: AsianCup_China_Uzbekistan, Fengtimo_2018_11_3, YYF_2018_08_12
VIDEO_TRACE = 'AsianCup_China_Uzbekistan'
model_name = "./"+ABR_NAME+"_models/"+QoE+"/"
if ABR_NAME == 'BBA':
import BBA as ABR
if ABR_NAME == 'RBA':
import RBA as ABR
if ABR_NAME == 'DYNAMIC':
import DYNAMIC as ABR
if ABR_NAME == 'PDDQN':
import PDDQN_R as ABR
if ABR_NAME == 'Pensieve':
import Pensieve as ABR
SMOOTH_PENALTY = 0
REBUF_PENALTY = 0.0
LANTENCY_PENALTY = 0.0
SKIP_PENALTY = 0.0
BITRATE_REWARD = 0.0
if QoE == 'al':
SMOOTH_PENALTY = 0.01
REBUF_PENALTY = 1.5
LANTENCY_PENALTY = 0.01
BITRATE_REWARD = 0.001
SKIP_PENALTY = 1
if QoE == 'ar':
SMOOTH_PENALTY = 0.0
REBUF_PENALTY = 3
LANTENCY_PENALTY = 0.0
BITRATE_REWARD = 0.001
SKIP_PENALTY = 0.0
if QoE == 'b':
SMOOTH_PENALTY = 0.02
REBUF_PENALTY = 1.5
LANTENCY_PENALTY = 0.005
BITRATE_REWARD = 0.001
SKIP_PENALTY = 0.5
if QoE == 'hd':
SMOOTH_PENALTY = 0.0
REBUF_PENALTY = 0.5
LANTENCY_PENALTY = 0.0
BITRATE_REWARD = 0.001
SKIP_PENALTY = 0.0
if QoE == 'max':
SMOOTH_PENALTY = 0
REBUF_PENALTY = 0.0
LANTENCY_PENALTY = 0.0
SKIP_PENALTY = 0.0
BITRATE_REWARD = 0.001
FILE_NAME = './'+'result/'+QoE+'_'+NETWORK_TRACE+'_'+VIDEO_TRACE+'.csv'
else:
FILE_NAME = './'+'result/'+ABR_NAME+'_'+QoE+'_'+NETWORK_TRACE+'_'+VIDEO_TRACE+'.csv'
out = open(FILE_NAME,'w',newline='')
w = csv.writer(out)
DEBUG = False
LOG_FILE_PATH = './log/'
# create result directory
if not os.path.exists(LOG_FILE_PATH):
os.makedirs(LOG_FILE_PATH)
# -- End Configuration --
network_trace_dir = './dataset/new_network_trace/' + NETWORK_TRACE + '/'
video_trace_prefix = './dataset/video_trace/' + VIDEO_TRACE + '/frame_trace_'
# load the trace
all_cooked_time, all_cooked_bw, all_file_names = load_trace.load_trace(network_trace_dir)
start_avgbw = (sum(all_cooked_bw[0][0:10])/10) *1000
# random_seed
random_seed = 2
count = 0
trace_count = 1
FPS = 25
frame_time_len = 0.04
reward_all_sum = 0
run_time = 0
net_env = env.Environment(all_cooked_time=all_cooked_time,
all_cooked_bw=all_cooked_bw,
random_seed=random_seed,
logfile_path=LOG_FILE_PATH,
VIDEO_SIZE_FILE=video_trace_prefix,
Debug=DEBUG)
abr = ABR.Algorithm()
abr_init = abr.Initial(model_name)
BIT_RATE = [500.0, 850.0, 1200.0, 1850.0] # kpbs
TARGET_BUFFER = [0.5,0.75,1,1.25] # seconds
# ABR setting
RESEVOIR = 0.5
CUSHION = 2
cnt = 0
# defalut setting
last_bit_rate = 0
bit_rate = 0
target_buffer = 0
latency_limit = 4
# reward setting
reward_frame = 0
reward_all = 0
# past_info setting
past_frame_num = 200
S_time_interval = [0] * past_frame_num
S_send_data_size = [0] * past_frame_num
S_chunk_len = [0] * past_frame_num
S_rebuf = [0] * past_frame_num
S_buffer_size = [0] * past_frame_num
S_end_delay = [0] * past_frame_num
S_chunk_size = [0] * past_frame_num
S_play_time_len = [0] * past_frame_num
S_decision_flag = [0] * past_frame_num
S_buffer_flag = [0] * past_frame_num
S_cdn_flag = [0] * past_frame_num
S_skip_time = [0] * past_frame_num
# params setting
call_time_sum = 0
while True:
reward_frame = 0
time, time_interval, send_data_size, chunk_len, \
rebuf, buffer_size, play_time_len, end_delay, \
cdn_newest_id, download_id, cdn_has_frame, skip_frame_time_len, decision_flag, \
buffer_flag, cdn_flag, skip_flag, end_of_video = net_env.get_video_frame(bit_rate, target_buffer, latency_limit)
# S_info is sequential order
S_time_interval.pop(0)
S_send_data_size.pop(0)
S_chunk_len.pop(0)
S_buffer_size.pop(0)
S_rebuf.pop(0)
S_end_delay.pop(0)
S_play_time_len.pop(0)
S_decision_flag.pop(0)
S_buffer_flag.pop(0)
S_cdn_flag.pop(0)
S_skip_time.pop(0)
S_time_interval.append(time_interval)
S_send_data_size.append(send_data_size)
S_chunk_len.append(chunk_len)
S_buffer_size.append(buffer_size)
S_rebuf.append(rebuf)
S_end_delay.append(end_delay)
S_play_time_len.append(play_time_len)
S_decision_flag.append(decision_flag)
S_buffer_flag.append(buffer_flag)
S_cdn_flag.append(cdn_flag)
S_skip_time.append(skip_frame_time_len)
# QOE setting
# if end_delay <= 1.0:
# LANTENCY_PENALTY = 0.005
# else:
# LANTENCY_PENALTY = 0.01
if not cdn_flag:
reward_frame = frame_time_len * float(BIT_RATE[
bit_rate]) * BITRATE_REWARD - REBUF_PENALTY * rebuf - LANTENCY_PENALTY * end_delay - SKIP_PENALTY * skip_frame_time_len
else:
reward_frame = -(REBUF_PENALTY * rebuf)
if decision_flag or end_of_video:
reward_frame += -1 * SMOOTH_PENALTY * (abs(BIT_RATE[bit_rate] - BIT_RATE[last_bit_rate]) / 1000)
last_bit_rate = bit_rate
# ----------------- Your Algorithm ---------------------
cnt += 1
timestamp_start = tm.time()
bit_rate, target_buffer, latency_limit = abr.run(time,
S_time_interval,
S_send_data_size,
S_chunk_len,
S_rebuf,
S_buffer_size,
S_play_time_len,
S_end_delay,
S_decision_flag,
S_buffer_flag,
S_cdn_flag,
S_skip_time,
end_of_video,
cdn_newest_id,
download_id,
cdn_has_frame,
abr_init,
start_avgbw)
w.writerow([bit_rate,buffer_size,end_delay,rebuf,skip_frame_time_len])
start_avgbw = -1
timestamp_end = tm.time()
call_time_sum += timestamp_end - timestamp_start
# -------------------- End --------------------------------
if end_of_video:
# print("network traceID, network_reward, avg_running_time", trace_count, reward_all, call_time_sum / cnt)
print(reward_all)
reward_all_sum += reward_all
run_time += call_time_sum / cnt
if trace_count >= len(all_file_names):
break
trace_count += 1
cnt = 0
call_time_sum = 0
last_bit_rate = 0
reward_all = 0
bit_rate = 0
target_buffer = 0
S_time_interval = [0] * past_frame_num
S_send_data_size = [0] * past_frame_num
S_chunk_len = [0] * past_frame_num
S_rebuf = [0] * past_frame_num
S_buffer_size = [0] * past_frame_num
S_end_delay = [0] * past_frame_num
S_chunk_size = [0] * past_frame_num
S_play_time_len = [0] * past_frame_num
S_decision_flag = [0] * past_frame_num
S_buffer_flag = [0] * past_frame_num
S_cdn_flag = [0] * past_frame_num
reward_all += reward_frame
return [reward_all_sum / trace_count, run_time / trace_count]
a = test("aaa")
print(a)