tcp crossover scaling jun02.ps
TRANSCRIPT
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100 Mbps
10 packets/s
= 83200 bps
1 Gbps
1 Gbps
100 Mbps
100 Mbps
U[0,5] ms
U[0,5] ms
buffer size:
33 packets = 32240 B
main measurement point
(0)
(1)-(N)
(0)
(1)-(K)
same as subnet 1
same as subnet 1
bottleneck links
80 ms
80 ms
router
1:0
server
1:1
server
1:2
server
1:N
...
...
server
server
server
2:2
2:1
2:2
router
routerrouter
2:0
...
router
1:0
server
server
server
K:1
K:2
K:N
router
router router
0:0
router
10001:0
...
...
client
0:1
client
0:2
client
0:K
client
client
client
10001:1
10001:K*N-K
subnet K
subnet 0
subnet 1001
subnet 1
subnet 2
1:10000
10001:2
2:10000
K:10000
10000:0
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0.2 0.8 3.2 12.8 51.2 204.8 819.2 3276.8 13107.2
2
0
2
4
6
8
10
12
14
Time resolution [s]
yj
0.2 0.8 3.2 12.8 51.2 204.8 819.2 3276.8 13107.2
2
0
2
4
6
8
10
12
14
Time resolution [s]
yj
0.2 0.8 3.2 12.8 51.2 204.8 819.2 3276.8 13107.2
2
0
2
4
6
8
10
12
14
Time resolution [s]
yj
0.2 0.8 3.2 12.8 51.2 204.8 819.2 3276.8 13107.2
2
0
2
4
6
8
10
12
14
Time resolution [s]
yj
0.2 0.8 3.2 12.8 51.2 204.8 819.2 3276.8 13107.2
2
0
2
4
6
8
10
12
14
Time resolution [s]
yj
0.2 0.8 3.2 12.8 51.2 204.8 819.2 3276.8 13107.2
2
0
2
4
6
8
10
12
14
Time resolution [s]
yj
100
101
102
103
104
105
106
105
104
103
102
101
100
Aggregation window size [s]
Variance
100
101
102
103
104
105
106
105
104
103
102
101
100
Aggregation window size [s]
Variance
100
101
102
103
104
105
106
105
104
103
102
101
100
Aggregation window size [s]
Variance
100
101
102
103
104
105
106
105
104
103
102
101
100
Aggregation window size [s]
Variance
100
101
102
103
104
105
106
105
104
103
102
101
100
Aggregation window size [s]
Variance
100
101
102
103
104
105
106
105
104
103
102
101
100
Aggregation window size [s]
Variance
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7/31/2019 Tcp Crossover Scaling Jun02.Ps
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0.2 0.8 3.2 12.8 51.2 204.8 819.2 3276.8 13107.2
2
0
2
4
6
8
10
12
14
Time resolution [s]
yj
0.2 0.8 3.2 12.8 51.2 204.8 819.2 3276.8 13107.2
2
0
2
4
6
8
10
12
14
Time resolution [s]
yj
0.2 0.8 3.2 12.8 51.2 204.8 819.2 3276.8 13107.2
2
0
2
4
6
8
10
12
14
Time resolution [s]
yj
100
101
102
103
104
105
106
105
104
103
102
101
100
Aggregation window size [s]
Variance
100
101
102
103
104
105
106
105
104
103
102
101
100
Aggregation window size [s]
Variance
100
101
102
103
104
105
106
105
104
103
102
101
100
Aggregation window size [s]
Variance
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0.5 0 0.5 1 1.5 2 2.5 3 3.5 46
5
4
3
2
1
0
1
log10(time [s])
log10(P[X>x])
run=1, flow threshold = 1 srun=1, flow threshold = 8 s
0.5 0 0.5 1 1.5 2 2.5 3 3.5 46
5
4
3
2
1
0
1
log10(time [s])
log10(P[X>x])
run=1, flow threshold = 1 srun=1, flow threshold = 8 s
0.5 0 0.5 1 1.5 2 2.5 3 3.5 46
5
4
3
2
1
0
1
log10(time [s])
log10(P[X>x])
run=5, flow threshold = 1 srun=5, flow threshold = 8 s
0.5 0 0.5 1 1.5 2 2.5 3 3.5 46
5
4
3
2
1
0
1
log10(time [s])
log10(P[X>x])
run=5, flow threshold = 1 srun=5, flow threshold = 8 s
0.5 0 0.5 1 1.5 2 2.5 3 3.5 46
5
4
3
2
1
0
1
log10(time [s])
log10(P[X>x])
run=1, flow threshold = 1 srun=1, flow threshold = 8 s
0.5 0 0.5 1 1.5 2 2.5 3 3.5 46
5
4
3
2
1
0
1
log10(time [s])
log10(P[X>x])
run=3, flow threshold = 1 srun=3, flow threshold = 8 s
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7/31/2019 Tcp Crossover Scaling Jun02.Ps
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0.5 0 0.5 1 1.5 2 2.5 3 3.5 46
5
4
3
2
1
0
1
log10(time [s])
log10(P[X>x])
run=1, flow threshold = 1 srun=1, flow threshold = 8 s
0.5 0 0.5 1 1.5 2 2.5 3 3.5 46
5
4
3
2
1
0
1
log10(time [s])
log10(P[X>x])
run=5, flow threshold = 1 srun=5, flow threshold = 8 s
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7/31/2019 Tcp Crossover Scaling Jun02.Ps
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0.2 0.8 3.2 12.8 51.2 204.8 819.2 3276.8 13107.2
2
0
2
4
6
8
10
12
14
Time resolution [s]
yj
0.5 1 1.5 2 2.5 3 3.5 4 4.50.7
0.75
0.8
0.85
0.9
0.95
log10(K)
H
estimate
Estimation of Superposition of K ON/OFF Processes, Exp OFF (1.1 s mean), with FBM pred=0.9
VT plot estimationWaveletbased estimation
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7/31/2019 Tcp Crossover Scaling Jun02.Ps
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7/31/2019 Tcp Crossover Scaling Jun02.Ps
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7/31/2019 Tcp Crossover Scaling Jun02.Ps
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