-
Notifications
You must be signed in to change notification settings - Fork 44
/
run.py
233 lines (208 loc) · 8.49 KB
/
run.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
''' Simulator for ACM Multimedia 2019 Live Video Streaming Challenge
Author Dan Yang
Time 2019-01-31
'''
# import the env
import fixed_env as fixed_env
import load_trace as load_trace
#import matplotlib.pyplot as plt
import time as tm
import ABR
import os
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'
# 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/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)
#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 = fixed_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 = [0.5,1.0] # 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 = 7500
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)
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)