Modeling file-sharing with BitTorrent-like incentives

George Kesidis, Panagiotis Takis Konstantopoulos, Perla Sousi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

We propose a new model for file-sharing peer-to-peer (P2P) networks that mimics the incentives provided by the popular BitTorrent system. In it, larger files are split into chunks and a peer can download or swap only one chunk at a time. We propose a Markov chain model in continuous time that resembles a stochastic epidemic/coagulation model. We prove that the Markov chain is approximated by a differential equation which, by itself, can give some rough information about the performance of the system. Finally, using this model, we explore the performance of BitTorrent-like incentives for an open system with peer departures and arrivals and a single file (torrent) with two chunks. © 2007 IEEE.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesIV1333-IV1336
Volume4
DOIs
Publication statusPublished - 2007
Event32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007 - Honolulu
Duration: 15 Apr 200720 Apr 2007

Conference

Conference32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007
Abbreviated titleICASSP 2007
CityHonolulu
Period15/04/0720/04/07

Keywords

  • Internet
  • Internetworking

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