Title
Modeling file-sharing with BitTorrent-like incentives
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.
Year
DOI
Venue
2007
10.1109/ICASSP.2007.367324
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference
Keywords
Field
DocType
Markov processes,differential equations,open systems,peer-to-peer computing,BitTorrent-like incentives,Markov chain model,differential equation,file-sharing modeling,file-sharing peer-to-peer networks,open system,stochastic epidemic-coagulation model,Internet,Internetworking
Markov process,Computer science,Markov chain,Computer network,Stochastic process,Internetworking,BitTorrent,File sharing,Open system (systems theory),The Internet,Distributed computing
Conference
Volume
ISSN
ISBN
4
1520-6149
1-4244-0727-3
Citations 
PageRank 
References 
6
0.54
6
Authors
3
Name
Order
Citations
PageRank
George Kesidis135644.92
Takis Konstantopoulos260.54
Perla Sousi360.54