https://bitbucket.org/NetaRS/sched_analytics
Tip revision: ed1f2acca39de9eb5f34a6cb5b0c8db1492f74f2 authored by NetaRS on 12 December 2020, 09:53:39 UTC
bounded traffic distributed
bounded traffic distributed
Tip revision: ed1f2ac
size_distributions_plot.py
from os import path
import json
import argparse
import run_analysis
import csv
from collections import defaultdict
import matplotlib.pyplot as plt
'''''''''''
DCTCP = [0 0
10000 0.15
20000 0.2
30000 0.3
50000 0.4
80000 0.53
200000 0.6
1e+06 0.7
2e+06 0.8
5e+06 0.9
1e+07 0.97
3e+07 1]
VL2 = [0 0
180 0.1
216 0.2
560 0.3
900 0.4
1100 0.5
1870 0.6
3160 0.7
10000 0.8
400000 0.9
3.16e+06 0.95
1e+08 0.98
1e+09 1]
HULL = [0 0
5000 0.049940
10000 0.541151
20000 0.778391
40000 0.892970
80000 0.948308
160000 0.975034
320000 0.987942
640000 0.994177
1280000 0.997187
2560000 0.998642
5120000 0.999344
10240000 1
]
'''''''''''
def read_from_file(CDF_filename):
X = []
Y = []
filename = str(CDF_filename)
f = open(filename, 'r')
for line in f.readlines():
x, y = map(float, line.strip().split())
X.append(x)
Y.append(y)
return X, Y
def prepare_for_plot(cdf_x, cdf_y):
if cdf_y[0] == 0:
cdf_x[0] = cdf_x[1] - 1
def main():
DCTCP_X, DCTCP_Y = read_from_file("DCTCP_CDF")
prepare_for_plot(DCTCP_X, DCTCP_Y)
HULL_X, HULL_Y = read_from_file("HULL_CDF")
prepare_for_plot(HULL_X, HULL_Y)
VL2_X, VL2_Y = read_from_file("VL2_CDF")
prepare_for_plot(VL2_X, VL2_Y)
plt.plot(DCTCP_X, DCTCP_Y, label="pFabric")#, linestyle=":")
plt.plot(HULL_X, HULL_Y , label="HULL")#, linestyle="_")
plt.plot(VL2_X, VL2_Y, label="VL2")#, linestyle="-")
plt.xlabel('Flow Size (bytes)')
plt.ylabel('CDF')
plt.legend()
plt.xscale("log")
plt.savefig("three distributions.pdf")
plt.show()
if __name__ == "__main__":
main()