| A comparative analysis of web and peer-to-peer traffic |
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International World Wide Web Conference
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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
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Authors
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Naimul Basher
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University of Calgary, Calgary, Canada
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Aniket Mahanti
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University of Calgary, Calgary, Canada
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Anirban Mahanti
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Indian Institute of Technology, Delhi, India
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Carey Williamson
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University of Calgary, Calgary, Canada
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Martin Arlitt
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University of Calgary, Calgary, Canada
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Downloads (6 Weeks): 30, Downloads (12 Months): 370, Citation Count: 1
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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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CITED BY
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Jeffrey Erman , Alexandre Gerber , Mohammad T. Hajiaghayi , Dan Pei , Oliver Spatscheck, Network-aware forward caching, Proceedings of the 18th international conference on World wide web, April 20-24, 2009, Madrid, Spain
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