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online.py
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import fixed_env as env
import load_trace as load_trace
import os
import time as tm
# import BBA as ABR
# import RBA as ABR
# import Dynamic as ABR
# import DQN as ABR
import pensieve as ABR
import math
# def test(user_id):
# # path setting
# TRAIN_TRACES = './dataset/new_network_trace/' # train trace path setting,
# # video_size_file = './video_trace/frame_trace_' #video trace path setting,
# video_size_file = './dataset/video_trace/video_trace/AsianCup_China_Uzbekistan/frame_trace_' # video trace path setting,
# LogFile_Path = "./log/" # log file trace path setting,
# # Debug Mode: if True, You can see the debug info in the logfile
# # if False, no log ,but the training speed is high
# DEBUG = False
# DRAW = False
# # load the trace
# all_cooked_time, all_cooked_bw, all_file_names = load_trace.load_trace(TRAIN_TRACES)
# # random_seed
# random_seed = 2
# video_count = 0
# # FPS = 25
# frame_time_len = 0.04
# reward_all_sum = 0
# # init the environment
# # setting one:
# # 1,all_cooked_time : timestamp
# # 2,all_cooked_bw : throughput
# # 3,all_cooked_rtt : rtt
# # 4,agent_id : random_seed
# # 5,logfile_path : logfile_path
# # 6,VIDEO_SIZE_FILE : Video Size File Path
# # 7,Debug Setting : Debug
# net_env = env.Environment(all_cooked_time=all_cooked_time,
# all_cooked_bw=all_cooked_bw,
# random_seed=random_seed,
# logfile_path=LogFile_Path,
# VIDEO_SIZE_FILE=video_size_file,
# Debug=DEBUG)
# BIT_RATE = [500.0,850.0,1200.0,1850.0] # kpbs
# # ABR setting
# CUSHION = 2
#
# cnt = 0
# # defalut setting
# last_bit_rate = 0
# bit_rate = 0
# target_buffer = 1
# # QOE setting
# reward_frame = 0
# reward_all = 0
# SMOOTH_PENALTY = 0.02
# REBUF_PENALTY = 1.5
# LANTENCY_PENALTY = 0.005
#
# call_cnt = 0
# call_time = 0
# switch_num = 0
#
# S_time_interval = [0] * 1000
# S_send_data_size = [0] * 1000
# S_frame_type = [0] * 1000
# S_frame_time_len = [0] * 1000
# S_buffer_size = [0] * 1000
# S_end_delay = [0] * 1000
# cdn_has_frame = [0] * 1000
# S_real_quality = [0] * 1000
# S_rebuf = [0] * 1000
# rebuf_time = 0
# buffer_flag = 0
# cdn_flag = 0
#
# abr = ABR.Algorithm()
# abr.Initial()
# while True:
# reward_frame = 0
# # input the train steps
# # if cnt > 1200:
# # plt.ioff()
# # break
# # actions bit_rate target_buffer
# # every steps to call the environment
# # time : physical time
# # time_interval : time duration in this step
# # send_data_size : download frame data size in this step
# # chunk_len : frame time len
# # rebuf : rebuf time in this step
# # buffer_size : current client buffer_size in this step
# # rtt : current buffer in this step
# # play_time_len : played time len in this step
# # end_delay : end to end latency which means the (upload end timestamp - play end timestamp)
# # decision_flag : Only in decision_flag is True ,you can choose the new actions, other time can't Becasuse the Gop is consist by the I frame and P frame. Only in I frame you can skip your frame
# # buffer_flag : If the True which means the video is rebuffing , client buffer is rebuffing, no play the video
# # cdn_flag : If the True cdn has no frame to get
# # end_of_video : If the True ,which means the video is over.
# 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)
#
# cnt += 1
# call_time += time_interval
# switch_num += switch
#
# S_time_interval.pop(0)
# S_buffer_size.pop(0)
# S_send_data_size.pop(0)
# S_frame_time_len.pop(0)
# S_end_delay.pop(0)
# S_real_quality.pop(0)
# S_rebuf.pop(0)
#
# S_time_interval.append(time_interval)
# S_buffer_size.append(buffer_size)
# S_send_data_size.append(send_data_size)
# S_frame_time_len.append(frame_time_len)
# S_end_delay.append(end_delay)
# S_real_quality.append(real_quality)
# S_rebuf.append(rebuf)
# if decision_flag:
# S_frame_type.append(1)
# else:
# S_frame_type.append(0)
# rebuf_time += rebuf
# if not cdn_flag:
# reward_frame = frame_time_len * float(
# BIT_RATE[bit_rate]) / 1000 - REBUF_PENALTY * rebuf - LANTENCY_PENALTY * end_delay
# else:
# reward_frame = -(REBUF_PENALTY * rebuf)
# # if call_time > 0.5 and not end_of_video:
# if decision_flag and not end_of_video:
# reward_frame += -(switch_num) * SMOOTH_PENALTY * (1200 - 500) / 1000
#
# time_start = time_package.time()
# bit_rate, target_buffer = abr.run(S_time_interval, S_send_data_size, S_frame_time_len, S_frame_type,S_real_quality, S_buffer_size, S_end_delay,S_rebuf,rebuf_time, cdn_has_frame, cdn_flag, buffer_flag)
# # print(bit_rate,target_buffer)
# time_end = time_package.time()
# if time_end - time_start > 0.05:
# print("Warning Your decision is time out,This decision is default decision")
# bit_rate = 0
# target_buffer = 1.5
# call_time = 0
# switch_num = 0
# call_cnt += 1
#
# rebuf_time = 0
#
# # --`----------------------------------------- End -------------------------------------------
#
# reward_all += reward_frame
# if end_of_video:
# # Narrow the range of results
# print("video count", video_count, reward_all)
# reward_all_sum += reward_all / 100
# video_count += 1
# if video_count >= len(all_file_names):
# break
# cnt = 0
# reward_all = 0
# last_bit_rate = 0
# bit_rate = 0
# target_buffer = 1.5
#
# S_time_interval = [0] * 1000
# S_send_data_size = [0] * 1000
# S_frame_type = [0] * 1000
# S_frame_time_len = [0] * 1000
# S_buffer_size = [0] * 1000
# S_end_delay = [0] * 1000
# S_real_quality = [0] * 1000
# cdn_has_frame = [0] * 1000
# rebuf_time = 0
# buffer_flag = 0
# cdn_flag = 0
#
# call_cnt = 0
# call_time = 0
# switch_num = 0
# return reward_all_sum
def test(user_id):
# -- Configuration variables --
# Edit these variables to configure the simulator
# Change which set of network trace to use: 'fixed' 'low' 'medium' 'high'
NETWORK_TRACE = 'fixed'
# Change which set of video trace to use.
VIDEO_TRACE = 'AsianCup_China_Uzbekistan'
# VIDEO_TRACE = 'sports'
# Turn on and off logging. Set to 'True' to create log files.
# Set to 'False' would speed up the simulator.
DEBUG = False
# Control the subdirectory where log files will be stored.
LOG_FILE_PATH = './log/'
# create result directory
if not os.path.exists(LOG_FILE_PATH):
os.makedirs(LOG_FILE_PATH)
# -- End Configuration --
# You shouldn't need to change the rest of the code here.
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
# init
# setting one:
# 1,all_cooked_time : timestamp
# 2,all_cooked_bw : throughput
# 3,all_cooked_rtt : rtt
# 4,agent_id : random_seed
# 5,logfile_path : logfile_path
# 6,VIDEO_SIZE_FILE : Video Size File Path
# 7,Debug Setting : Debug
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()
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
# QOE setting
reward_frame = 0
reward_all = 0
SMOOTH_PENALTY = 0.02
REBUF_PENALTY = 1.85
LANTENCY_PENALTY = 0.005
SKIP_PENALTY = 0.5
# 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
# input the train steps
# if cnt > 5000:
# plt.ioff()
# break
# actions bit_rate target_buffer
# every steps to call the environment
# time : physical time
# time_interval : time duration in this step
# send_data_size : download frame data size in this step
# chunk_len : frame time len
# rebuf : rebuf time in this step
# buffer_size : current client buffer_size in this step
# rtt : current buffer in this step
# play_time_len : played time len in this step
# end_delay : end to end latency which means the (upload end timestamp - play end timestamp)
# decision_flag : Only in decision_flag is True ,you can choose the new actions, other time can't Becasuse the Gop is consist by the I frame and P frame. Only in I frame you can skip your frame
# buffer_flag : If the True which means the video is rebuffing , client buffer is rebuffing, no play the video
# cdn_flag : If the True cdn has no frame to get
# end_of_video : If the True ,which means the video is over.
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]) / 1000 - 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 formate = play_time * BIT_RATE - 4.3 * rebuf - 1.2 * end_delay
reward_frame += -1 * SMOOTH_PENALTY * (abs(BIT_RATE[bit_rate] - BIT_RATE[last_bit_rate]) / 1000)
# last_bit_rate
last_bit_rate = bit_rate
# ----------------- Your Algorithm ---------------------
# which part is the algorithm part ,the buffer based ,
# if the buffer is enough ,choose the high quality
# if the buffer is danger, choose the low quality
# if there is no rebuf ,choose the low target_buffer
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)
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)
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)