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Copy pathsim.py
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61 lines (48 loc) · 1.96 KB
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import numpy as np
from numpy.lib.function_base import place
from numpy.testing._private.utils import measure
np.random.seed(1999)
time_intvl = 40
pkt_rate = 8 # 1 1500B packet every time_intvl -> 12Mbps
min_rtt = 20
with open('trace-step.log', 'r') as f:
downlink_queue = []
feedback_loop = []
frame_id = 0
allow_adjust = 0
dequeue_intvl = time_intvl / pkt_rate
last_ts = 0
while True:
line = f.readline()
if not line:
break
ts, delay = int(line.split()[0]), int(line.split()[1])
while ts > (frame_id + 1) * time_intvl:
# sending rate update
pkt_rate += frame_id % 3 == 0
while len(feedback_loop) > 0 and feedback_loop[0][0] <= ts:
if feedback_loop[0][1] > 100 and ts >= allow_adjust:
pkt_rate /= 2
allow_adjust = ts + feedback_loop[0][1]
feedback_loop.pop(0)
# send new frame
frame_id += 1
for _ in range(pkt_rate):
downlink_queue.append([frame_id, frame_id * time_intvl])
if len(downlink_queue) > 0:
actual_rtt = min_rtt + delay + ts - downlink_queue[0][1]
# passive feedback
effective_time = min_rtt/2 + delay + ts
measured_rtt = actual_rtt
# active feedback
# dequeue_intvl += (ts - last_ts - dequeue_intvl) * 0.25
# effective_time = min_rtt/2 + ts
# measured_rtt = min_rtt + delay + len(downlink_queue) * int(dequeue_intvl) + ts - downlink_queue[-1][1]
feedback_loop.append([effective_time, measured_rtt])
print("%d %d" % (downlink_queue[0][0], actual_rtt))
downlink_queue.pop(0)
last_ts = ts
# alpha = float(line.split()[0])
# dequeue_intvl = np.random.geometric(alpha, size=time_intvl)
# control_loop.append([time, ])
# for control in control_loop: