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The impact and implications of the growth in residential user-to-user traffic
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Source Applications, Technologies, Architectures, and Protocols for Computer Communication archive
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications table of contents
Pisa, Italy
SESSION: Measurement table of contents
Pages: 207 - 218  
Year of Publication: 2006
ISBN:1-59593-308-5
Also published in ...
Authors
Kenjiro Cho  IIJ
Kensuke Fukuda  NII
Hiroshi Esaki  Univ. of Tokyo
Akira Kato  Univ. of Tokyo
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

It has been reported worldwide that peer-to-peer traffic is taking up a significant portion of backbone networks. In particular, it is prominent in Japan because of the high penetration rate of fiber-based broadband access. In this paper, we first report aggregated traffic measurements collected over 21 months from seven ISPs covering 42% of the Japanese backbone traffic. The backbone is dominated by symmetric residential traffic which increased 37%in 2005. We further investigate residential per-customer trafficc in one of the ISPs by comparing DSL and fiber users, heavy-hitters and normal users, and geographic traffic matrices. The results reveal that a small segment of users dictate the overall behavior; 4% of heavy-hitters account for 75% of the inbound volume, and the fiber users account for 86%of the inbound volume. About 63%of the total residential volume is user-to-user traffic. The dominant applications exhibit poor locality and communicate with a wide range and number of peers. The distribution of heavy-hitters is heavy-tailed without a clear boundary between heavy-hitters and normal users, which suggests that users start playing with peer-to-peer applications, become heavy-hitters, and eventually shift from DSL to fiber. We provide conclusive empirical evidence from a large and diverse set of commercial backbone data that the emergence of new attractive applications has drastically affected traffic usage and capacity engineering requirements.


REFERENCES

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CITED BY  13

Collaborative Colleagues:
Kenjiro Cho: colleagues
Kensuke Fukuda: colleagues
Hiroshi Esaki: colleagues
Akira Kato: colleagues