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Explaining BitTorrent Traffic Self-Similarity

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3320))

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.

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References

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© 2004 Springer-Verlag Berlin Heidelberg

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Liu, G., Hu, M., Fang, B., Zhang, H. (2004). Explaining BitTorrent Traffic Self-Similarity. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_164

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  • DOI: https://doi.org/10.1007/978-3-540-30501-9_164

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24013-6

  • Online ISBN: 978-3-540-30501-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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