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A comparative analysis of web and peer-to-peer traffic
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International World Wide Web Conference archive
Proceeding of the 17th international conference on World Wide Web table of contents
Beijing, China
SESSION: Performance and scalability table of contents
Pages 287-296  
Year of Publication: 2008
ISBN:978-1-60558-085-2
Authors
Naimul Basher  University of Calgary, Calgary, Canada
Aniket Mahanti  University of Calgary, Calgary, Canada
Anirban Mahanti  Indian Institute of Technology, Delhi, India
Carey Williamson  University of Calgary, Calgary, Canada
Martin Arlitt  University of Calgary, Calgary, Canada
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Peer-to-Peer (P2P) applications continue to grow in popularity, and have reportedly overtaken Web applications as the single largest contributor to Internet traffic. Using traces collected from a large edge network, we conduct an extensive analysis of P2P traffic, compare P2P traffic with Web traffic, and discuss the implications of increased P2P traffic. In addition to studying the aggregate P2P traffic, we also analyze and compare the two main constituents of P2P traffic in our data, namely BitTorrent and Gnutella. The results presented in the paper may be used for generating synthetic workloads, gaining insights into the functioning of P2P applications, and developing network management strategies. For example, our results suggest that new models are necessary for Internet traffic. As a first step, we present flow-level distributional models for Web and P2P traffic that may be used in network simulation and emulation experiments.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Naimul Basher: colleagues
Aniket Mahanti: colleagues
Anirban Mahanti: colleagues
Carey Williamson: colleagues
Martin Arlitt: colleagues