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Explaining BitTorrent traffic self-similarity

  • Gang Liu*
  • , Mingzeng Hu
  • , Binxing Fang
  • , Hongli Zhang
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Pages (from-to)839-843
Number of pages5
JournalLecture Notes in Computer Science
Volume3320
DOIs
StatePublished - 2004
Event5th International Conference, PDCAT 2004 - , Singapore
Duration: 8 Dec 200410 Dec 2004

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