Deprecated: The each() function is deprecated. This message will be suppressed on further calls in /home/zhenxiangba/zhenxiangba.com/public_html/phproxy-improved-master/index.php on line 456
#!/usr/bin/env python
import math
"""
Estimate upper bounds on TCP connection throughput,
given MSS, RTT, and loss rate
Implemented from slightly simplified equations on:
http://www.slac.stanford.edu/comp/net/wan-mon/thru-vs-loss.html
In particular:
''We have assumed the number of packets acknowledged by a received ACK is 2
(this is b in the Padhye et. al. formula 31)''
There are two functions you care about:
tcp_bw(mss, rtt, loss_rate, ...)
using the more sophisticated calculations
tcp_bw_mathis(mss, rtt, loss_rate, ...)
for the back-of-the-envelope calculation that started it all
"""
def tcp_bw_mathis(mss, rtt, loss_rate, want_bytes_per_second=False):
"""
Using the formula 'Rate <= (MSS/RTT)*(1 / sqrt{p})' from
'The macroscopic behavior of the TCP congestion avoidance algorithm'
Mathis, et al. CCR 27(3), July 1997
calculate the expected bandwidth (in bits per second) of a TCP connection.
Parameters:
mss - Maximum Segment Size (bytes)
rtt - Round Trip Time (seconds)
loss_rate - ratio of packets that are lost (0.1 for 10%)
Return:
upper bound of the transfer rate (float),
in bits per second unless @want_bytes_per_second
"""
if not want_bytes_per_second:
mss = mss * 8.0
return (mss/rtt)*(1.0/math.sqrt(loss_rate))
def G(p):
return (1 +
p +
2.0*(p**2) +
4.0*(p**3) +
8.0*(p**4) +
16.0*(p**5) +
32.0*(p**6)
)
def Q(p,w):
return min(1.0,
( (1.0 - (1.0-p)**3) *
(1.0 + (1.0-p)**3) *
(1.0 - (1.0-p)**(w-3))
)
/ ((1.0 - (1.0-p)**w))
)
def w(p):
return (2.0/3.0)*(1.0 + math.sqrt(3.0*((1.0-p)/p) + 1.0))
def tcp_bw(mss, rtt, loss_rate,
wmax=30, initial_rto=3.0,
want_bytes_per_second=False
):
"""
Using the set of of formulas from
'Modelling TCP throughput: A simple model and its empirical validation'
by J. Padhye, et al, SIGCOMM 1998
calculate the expected bandwidth (bits per second)of a TCP connection.
While more complicated, these seem to give more accurate readings
for high loss rates (> 2%).
Parameters:
mss - Maximum Segment Size (bytes)
rtt - Round Trip Time (seconds)
loss_rate - ratio of packets that are lost (0.1 for 10%)
wmax - maximum window size (number of segments)
initial_rto - Initial Retransmission Timeout (RTO) in seconds
want_bytes_per_seconds - set to True if you want Bytes/second
Return:
upper bound of the transfer rate (float),
in bits per second unless @want_bytes_per_second
"""
p = float(loss_rate)
if not want_bytes_per_second:
mss = mss * 8.0
if (w(p) < wmax):
rate = (mss * (((1.0-p)/p) + w(p) + Q(p,w(p))/(1.0-p))
/ (rtt * ((w(p)+1.0))+(Q(p,w(p))*G(p)*initial_rto)/(1.0-p))
)
else:
rate = (
( mss * ( ((1.0-p)/p) + wmax + Q(p,wmax)/(1.0-p) ) )
/ ( ( rtt * ( 0.25*wmax + ((1.0-p)/(p*wmax) + 2.0) ) )
+ (Q(p,wmax)*G(p)*initial_rto)/(1.0-p)
)
)
return rate