Assessing the dynamics of bittorrent swarms topologies using the peer exchange protocol

Mohamad Dikshie Fauzie, Achmad Husni Thamrin, Rodney Van Meter, Jun Murai

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Bittorrent is one of the most popular and successful applications in the current Internet. However, we still have little knowledge about the topology of real Bittorrent swarms, how dynamic the topology is, and how it affects overall behavior. This paper describes an experimental study of the overlay topologies of real-world Bittorrent networks, focusing on the activity of the nodes of its P2P topology and especially their dynamic relationships. Peer Exchange Protocol (PEX) messages are analyzed to infer topologies and their properties, capturing the variations of their behavior. Our measurements, verified using the Kolmogorov-Smirnov goodness of fit test and the likelihood ratio test and confirmed via simulation, show that a power-law with exponential cutoff is a more plausible model than a pure power-law distribution. We also found that the average clustering coefficient is very low, supporting this observation. Bittorrent swarms are far more dynamic than has been recognized previously, potentially impacting attempts to optimize the performance of the system as well as the accuracy of simulations and analyses.

Original languageEnglish
Pages (from-to)1566-1574
Number of pages9
JournalIEICE Transactions on Communications
VolumeE95-B
Issue number5
DOIs
Publication statusPublished - 2012 May

Keywords

  • Bittorrent
  • Network topology
  • P2P
  • PEX
  • Power-law

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Assessing the dynamics of bittorrent swarms topologies using the peer exchange protocol'. Together they form a unique fingerprint.

  • Cite this