A simple reputation model for BitTorrent-like incentives

  • Authors:
  • A. Tangpong;G. Kesidis

  • Affiliations:
  • CS&E and EE Depts, The Pennsylvania State University, University Park, PA;CS&E and EE Depts, The Pennsylvania State University, University Park, PA

  • Venue:
  • GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
  • Year:
  • 2009

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Abstract

We study how BitTorrent exhibits peer clustering in terms of transaction success rate which is based on allocated uplink bandwidths for the purposes of file-swapping. The effects of optimistic unchoking and dissemination of choke lists are also considered. Under dynamic uplink assignment similar grouping results based on differences in how users derive utility from transaction success rates. The "limited information" game requires users periodically assess the effect of a change in uplink. Finally, we conclude with a discussion of how to extend the model to consider the complicating factors such as transient swarm behavior and peer churn.