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live_plot_tcp_pcc.py
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live_plot_tcp_pcc.py
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import matplotlib.pyplot as plt
import matplotlib.animation as animation
import time
import os
f, axarr = plt.subplots(2, 1, sharey=True, sharex=False)
def animate_tcp(i):
os.system("scp modong2@sender1.congestion7.uiucscheduling.emulab.net:/local/rate /home/mo/pcc/rate")
pullData = open("rate", "r")
for k in range(6):
pullData.readline()
dataArray = pullData.read().split("\n")
pullData.close()
xar = []
yar = []
for eachLine in dataArray:
if eachLine != "":
tmp = eachLine.split(" ")
y = tmp[len(tmp)-2]
yar.append(float(y))
for k in range(len(dataArray)-1):
xar.append(k*0.5)
ax1.clear()
ax1.plot(xar, yar)
def animate2(i):
os.system("scp modong2@sender1.congestion7.uiucscheduling.emulab.net:/local/utility /home/mo/pcc/utility")
pullData = open("utility", "r")
dataArray = pullData.read().split("\n")
pullData.close()
xar = []
yar1 = []
yar2 = []
seq = 1
for eachLine in dataArray:
if eachLine != "":
y1 = eachLine.split('\t')[0]
y2 = eachLine.split('\t')[1]
xar.append(seq)
seq = seq + 1
yar1.append(float(y1))
yar2.append(float(y2))
ax1.clear()
ax1.plot(xar, yar1, xar, yar2)
def animate(i):
os.system("scp modong2@sender1.congestion7.uiucscheduling.emulab.net:/local/rate /home/mo/pcc/rate")
pullData = open("rate", "r")
dataArray = pullData.read().split("\n")
pullData.close()
xar = []
yar = []
for eachLine in dataArray:
if eachLine != "":
x, y = eachLine.split(' ')
xar.append(float(x))
yar.append(float(y))
ax1.clear()
ax1.plot(xar, yar)
counter = 0
def animate_together(i):
global counter
#os.system("python ftpc.py sender1.demopair1.uiucscheduling.emulab.net 5050")
#os.system("python ftpc.py sender1.demopair2.uiucscheduling.emulab.net 5050")
counter = counter+1
if counter == 1:
print "clearing"
axarr[1].clear()
axarr[0].clear()
axarr[1].set_xlabel("Time (s)")
axarr[1].set_ylabel("Throughput (Mbit/s)")
axarr[1].set_title("TCP's performance")
axarr[0].set_xlabel("Time (s)")
axarr[0].set_ylabel("Throughput (Mbit/s)")
axarr[0].set_title("PCC's performance")
counter = 0
os.system("scp modong2@sender1.demopair1.uiucscheduling.emulab.net:/local/rate_pcc /home/mo/pcc/")
os.system("scp modong2@sender1.demopair2.uiucscheduling.emulab.net:/local/rate_tcp /home/mo/pcc/")
#os.system("scp modong2@155.98.38.139:/local/rate_pcc /home/mo/pcc/")
#os.system("scp modong2@155.98.38.41:/local/rate_tcp /home/mo/pcc/")
pullData_tcp = open("rate_tcp", "r")
for k in range(6):
pullData_tcp.readline()
dataArray_tcp = pullData_tcp.read().split("\n")
pullData_tcp.close()
xar = []
yar = []
for eachLine in dataArray_tcp:
if eachLine != "":
tmp = eachLine.split(" ")
y = tmp[len(tmp)-2]
yar.append(float(y))
for k in range(len(dataArray_tcp)-1):
xar.append(k)
tcp = axarr[1].plot(xar, yar)
plt.setp(tcp, color='b')
avg_tcp = 1.0
avg_pcc = 1.0
if len(yar)>5:
avg_tcp = sum(yar[-5:-1])/4
pullData = open("rate_pcc", "r")
dataArray = pullData.read().split("\n")
pullData.close()
xar = []
yar = []
#xar = [0, 0.5, 1, 1.5, 2.0, 2.5]
#yar = [0, 37.3, 39.3, 37.2, 40.3, 42.9]
count = 0
for eachLine in dataArray:
count = count+1
if count > -1:
if eachLine != "":
x, y = eachLine.split(' ')
xar.append(float(x))
yar.append(float(y))
if len(yar)>5:
avg_pcc = sum(yar[-5:-1])/4
if avg_tcp == 0:
avg_tcp = 0.00001
axarr[0].text(0.9, 1.1, 'improved by {:.2f}X'.format(avg_pcc/avg_tcp),
verticalalignment='center', horizontalalignment='center',
transform=axarr[0].transAxes,
color='red', fontsize=15)
axarr[0].text(0.8, 0.9, 'Tpt. {:.2f}Mps'.format(avg_pcc),
verticalalignment='center', horizontalalignment='center',
transform=axarr[0].transAxes,
color='blue', fontsize=15)
axarr[1].text(0.8, -0.3, 'Tpt. {:.2f}Mbps'.format(avg_tcp),
verticalalignment='center', horizontalalignment='center',
transform=axarr[0].transAxes,
color='blue', fontsize=15)
pcc = axarr[0].plot(xar, yar)
plt.setp(pcc, color='b')
axarr[1].clear()
axarr[1].set_xlabel("Time (s)")
axarr[1].set_ylabel("Throughput (Mbit/s)")
axarr[1].set_title("TCP's performance")
axarr[0].set_xlabel("Time (s)")
axarr[0].set_ylabel("Throughput (Mbit/s)")
axarr[0].set_title("PCC's performance")
ani = animation.FuncAnimation(f, animate_together, interval=2000)
plt.show()