traffic measurements and end user behavior in the acreo national broadband test bed andreas...

Traffic Measurements and End User Behavior in the Acreo National Broadband Test Bed

Andreas Aurelius, Adnan Mahmood, Anders Berntson, Gunnar Arvidsson, Kåre Gustafsson

BBEurope Geneva 2006-12-14 — 2

The Acreo test bed

•250 test pilots

•FTTH, xDSL, PON

BBEurope Geneva 2006-12-14 — 3

Measurement tool

• Packetlogic from Netintact

• Real time monitoring

• Deep packet/Deep flow inspection1

=> Application based detection

1 www.netintact.com

BBEurope Geneva 2006-12-14 — 4

Measurement focus

• Daily pattern

• Top applications

• Top households

• Penetration of applications

• Difference between peak hour traffic mix and overall traffic mix

BBEurope Geneva 2006-12-14 — 5

Measurement limitations

• 173 households

• 75 days

• Applications over public Internet (i.e.no IPTV, no IPtelephony)

BBEurope Geneva 2006-12-14 — 6

Hourly traffic load, averaged over 75 days

0

5

10

15

20

25

30

00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23

Hour

Gb

yte

inouttotal

inouttotal

PEAK HOURS

BBEurope Geneva 2006-12-14 — 7

Top 10 applications, percent of total traffic

0

10

20

30

40

50

60

70

BitTorrent

DirectConnect

HTTP Gnutella RTSP HTTPmediastream

SSH eDonkey Kazaa Skype

in

out

total

BBEurope Geneva 2006-12-14 — 8

Applications per category, % of total traffic

0

10

20

30

40

50

60

70

80

90

100

Peer-to-peer Audio/Video Voice over IP Online Gaming HTTP

in

out

total

BBEurope Geneva 2006-12-14 — 9

Penetration – top 10 applications

0

10

20

30

40

50

60

70

80

90

100

HTTP SSL HTTPmediastream

RTSP RTP DirectConnect

BitTorrent

Skype FTP Kazaa

Percentage of households using each application

BBEurope Geneva 2006-12-14 — 10

Penetration - categories

0

10

20

30

40

50

60

70

80

90

100

Peer-to-peer Audio/Video Voice over IP Online Gaming

Percentage of households using each category

BBEurope Geneva 2006-12-14 — 11

Application categories for top 10 % households

0

10

20

30

40

50

60

70

80

Peer-to-peer Audio/Video Voice over IP Online Gaming HTTP

Percentage of total traffic per category

BBEurope Geneva 2006-12-14 — 12

Cumulative Distribution Function

0

10

20

30

40

50

60

70

80

90

100

0 10 20 30 40 50 60 70 80 90 100

% of Households

% o

f to

tal

tra

ffic

0

10

20

30

40

50

60

70

80

90

100

0 10 20 30 40 50 60 70 80 90 100

% of Households

% o

f to

tal

tra

ffic

BBEurope Geneva 2006-12-14 — 13

Inbound vs outbound per category

0

10

20

30

40

50

60

70

80

90

100

Peer-to-peer Audio/Video Voice over IP Online Gaming

in

out

BBEurope Geneva 2006-12-14 — 14

Conclusions

• > 90 % peer-to-peer, dominating the traffic pattern

• High penetration of peer-to-peer (>80%), A/V streaming (>95%), VoIP (60%), http (100%)

• Asymmetric traffic (Outbound dominating, coming from peer-to-peer applications)

• 10 % of the households use 67 % of the traffic

• No big difference between peak hour and overall traffic mix

• < 3 % unknown

BBEurope Geneva 2006-12-14 — 15

Further work

Celtic project TRAMMS – Traffic Measurements and Models in Multi-Service Networks

TRAMMS scope:

• Traffic measurements in different parts of Europe

• Broadband bottleneck analysis

• Traffic models based on the results

• Capacity planning based on the models

• 14 partners, 5 countries, 50 person years over 3 years

• Planned start Q1 2007

•Trends

•Comparison with other networks

•Deeper statistical analysis

•Traffic models