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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Sen, S., Wang, J.: Analyzing Peer-to-Peer Traffic Across Large Networks. ACM/IEEE Transactions on Networking 12(2) (2004)
Leland, W.E., Taqqu, M.S., Willinger, W., Wilson, D.V.: On the self-similar nature of Ethernet traffic (extended version). IEEE/ACM Transactions on Networking 2, 1–15 (1994)
Paxson, V., Floyd, S.: Wide-area traffic: The failure of poisson modeling. In: Proceedings of SIGCOMM 1994 (1994)
Crovella, M.E., Bestavros, A.: Self-Similarity in World Wide Web Traffic: Evidence and Possible Causes. IEEE/ACM Transactions on Networking 5(6), 835–846 (1997)
Willinger, W., Taqqu, M.S., Sherman, R., Wilson, D.V.: Self-similarity through high-variability: Statistical analysis of Ethernet LAN traffic at the source level. In: Proceedings of SIGCOMM 1995, Boston, MA, pp. 100–113 (1995)
BitTorrent, http://bittorrent.sourceforge.net
Beran, J.: Statistics for Long-Memory Processes. In: Monographs on Statistics and Applied Probability. Chapman and Hall, New York (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)