Explaining bittorrent traffic self-similarity

Authors:
Gang Liu;Mingzeng Hu;Binxing Fang;Hongli Zhang
Affiliations:
Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China;Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China;Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China;Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China
Venue:
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Year:
2004

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Abstract

Peer-to-peer applications have become killer network applications. Understanding the nature of network traffic is critical in order to properly design and implement peer-to-peer network. Recently BitTorrent which is one of primary peer-to-peer applications has become one of most important information share tools on Internet. In this paper we examine the mechanisms that give rise to self-similar BitTorrent network traffic. We present an evidence for traffic self-similarity, and show that the self-similarity in such traffic can be explained based on the heavy-tailed distributions of BitTorrent transmission times and quiet times.