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.
|Title of host publication||2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07|
|Publication status||Published - 2007|
|Event||32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007 - Honolulu|
Duration: 15 Apr 2007 → 20 Apr 2007
|Conference||32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007|
|Abbreviated title||ICASSP 2007|
|Period||15/04/07 → 20/04/07|