Measurements, analysis, and modeling of BitTorrent-like systems

Lei Guo, Songqing Chen, Zhen Xiao, Enhua Tan, Xiaoning Ding, Xiaodong Zhang

Research output: Contribution to conferencePaperpeer-review

303 Scopus citations


Existing studies on BitTorrent systems are single-torrent based, while more than 85% of all peers participate in multiple torrents according to our trace analysis. In addition, these studies are not sufficiently insightful and accurate even for single-torrent models, due to some unrealistic assumptions. Our analysis of representative Bit-Torrent traffic provides several new findings regarding the limitations of BitTorrent systems: (1) Due to the exponentially decreasing peer arrival rate in reality, service availability in such systems becomes poor quickly, after which it is difficult for the file to be located and downloaded. (2) Client performance in the BitTorrent-like systems is unstable, and fluctuates widely with the peer population. (3) Existing systems could provide unfair services to peers, where peers with high downloading speed tend to download more and upload less. In this paper, we study these limitations on torrent evolution in realistic environments. Motivated by the analysis and modeling results, we further build a graph based multi-torrent model to study inter-torrent collaboration. Our model quantitatively provides strong motivation for inter-torrent collaboration instead of directly stimulating seeds to stay longer. We also discuss a system design to show the feasibility of multi-torrent collaboration.

Original languageEnglish (US)
Number of pages14
StatePublished - 2005
Externally publishedYes
Event5th ACM SIGCOMM Conference on Internet Measurement, IMC 2005 - Berkeley, CA, United States
Duration: Oct 19 2005Oct 21 2005


Other5th ACM SIGCOMM Conference on Internet Measurement, IMC 2005
Country/TerritoryUnited States
CityBerkeley, CA

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications


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