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import csv
import os
def calcEST(samples):
ests = []
K = 4
G = 0.001 # =100 msec
alpha = 1/8.0
beta = 1/4.0
# (2.1) of rtc6298
RTO = 1.0
counter = 1
for sample in samples:
R = sample[1]
# (2.2) of rtc6298
if counter == 1:
SRTT = R
RTTVAR = R / 2.0
# (2.3) of rtc6298
else:
RTTVAR = (1.0 - beta) * RTTVAR + beta * abs(SRTT - R)
SRTT = (1.0 - alpha) * SRTT + alpha * R
RTO = SRTT + max(G, K * RTTVAR)
# (2.4) of rtc6298
RTO = max(1.0, RTO)
ests.append(SRTT)
counter += 1
return ests
def getEstMedians(indices):
out = []
indexCount = 1
for streamIndex in indices:
if indexCount > 400:
break
os.system("tshark -Y \"tcp.stream == " + str(streamIndex) + "\" -T fields -e tcp.analysis.ack_rtt -e frame -E separator=, -E header=y -r univ1_pt13 > temp.csv")
sampleRTT = []
with open('temp.csv', mode='r') as csv_file:
csv_reader = csv.DictReader(csv_file)
for row in csv_reader:
# apply a sane filter
if (row['tcp.analysis.ack_rtt'] != ""):
sampleRTT.append( (int(row['frame'].split(' ')[1][:-1]), float(row['tcp.analysis.ack_rtt'])) )
csv_file.close()
ests = calcEST(sampleRTT)
ests.sort()
length = len(ests)
if (length % 2 == 0):
median = (ests[(length)//2] + ests[(length)//2-1]) / 2
else:
median = ests[(length-1)//2]
out.append([indexCount, median])
print(indexCount)
indexCount += 1
os.remove('temp.csv')
return out
def getStartTimes(indices, file):
out = []
indexCount = 1
for streamIndex in indices:
if indexCount > 400:
break
startTime = 10000000
with open(file, mode='r') as csv_file:
csv_reader = csv.DictReader(csv_file)
for row in csv_reader:
if int(row["Stream index"]) == streamIndex:
startTime = min(float(row["Time"]), startTime)
out.append([indexCount, startTime])
csv_file.close()
indexCount += 1
return out
# get start time values for each host pair
r1Indices = []
with open('r1.csv', mode='r') as csv_file:
csv_reader = csv.DictReader(csv_file)
for row in csv_reader:
if int(row["Stream index"]) not in r1Indices:
r1Indices.append(int(row["Stream index"]))
csv_file.close()
r1Indices.sort()
r1StartTimes = getStartTimes(r1Indices, 'r1.csv')
with open('r1_start_times.csv', mode='w', newline='') as r1_start_times_file:
fieldnames = ['indexCount', 'startTime']
writer = csv.DictWriter(r1_start_times_file, fieldnames=fieldnames)
writer.writeheader()
for flow in r1StartTimes:
writer.writerow({'indexCount': flow[0], 'startTime': flow[1]})
r1_start_times_file.close()
r2Indices = []
with open('r2.csv', mode='r') as csv_file:
csv_reader = csv.DictReader(csv_file)
for row in csv_reader:
if int(row["Stream index"]) not in r2Indices:
r2Indices.append(int(row["Stream index"]))
csv_file.close()
r2Indices.sort()
r2StartTimes = getStartTimes(r2Indices, 'r2.csv')
with open('r2_start_times.csv', mode='w', newline='') as r2_start_times_file:
fieldnames = ['indexCount', 'startTime']
writer = csv.DictWriter(r2_start_times_file, fieldnames=fieldnames)
writer.writeheader()
for flow in r2StartTimes:
writer.writerow({'indexCount': flow[0], 'startTime': flow[1]})
r1_start_times_file.close()
r3Indices = []
with open('r3.csv', mode='r') as csv_file:
csv_reader = csv.DictReader(csv_file)
for row in csv_reader:
if int(row["Stream index"]) not in r3Indices:
r3Indices.append(int(row["Stream index"]))
csv_file.close()
r3Indices.sort()
r3StartTimes = getStartTimes(r3Indices, 'r3.csv')
with open('r3_start_times.csv', mode='w', newline='') as r3_start_times_file:
fieldnames = ['indexCount', 'startTime']
writer = csv.DictWriter(r3_start_times_file, fieldnames=fieldnames)
writer.writeheader()
for flow in r3StartTimes:
writer.writerow({'indexCount': flow[0], 'startTime': flow[1]})
r1_start_times_file.close()
# get median values for each host pair
r1EstMedians = getEstMedians(r1Indices)
r2EstMedians = getEstMedians(r2Indices)
r3EstMedians = getEstMedians(r3Indices)
with open('r1_est_medians.csv', mode='w', newline='') as estMedians:
fieldnames = ['sequenceNumber', 'medianEstRtt']
writer = csv.DictWriter(estMedians, fieldnames=fieldnames)
writer.writeheader()
for flow in r1EstMedians:
writer.writerow({'sequenceNumber': flow[0], 'medianEstRtt': flow[1]})
estMedians.close()
with open('r2_est_medians.csv', mode='w', newline='') as estMedians:
fieldnames = ['sequenceNumber', 'medianEstRtt']
writer = csv.DictWriter(estMedians, fieldnames=fieldnames)
writer.writeheader()
for flow in r2EstMedians:
writer.writerow({'sequenceNumber': flow[0], 'medianEstRtt': flow[1]})
estMedians.close()
with open('r3_est_medians.csv', mode='w', newline='') as estMedians:
fieldnames = ['sequenceNumber', 'medianEstRtt']
writer = csv.DictWriter(estMedians, fieldnames=fieldnames)
writer.writeheader()
for flow in r3EstMedians:
writer.writerow({'sequenceNumber': flow[0], 'medianEstRtt': flow[1]})
estMedians.close()
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