Modeling of epidemic diffusion in peer-to-peer file-sharing networks

Authors:
Kenji Leibnitz;Tobias Hoßfeld;Naoki Wakamiya;Masayuki Murata
Affiliations:
Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan;Deptartment of Distributed Systems, University of Würzburg, Würzburg, Germany;Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan;Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan
Venue:
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
Year:
2006

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Abstract

In this paper we propose an analytical model for file diffusion in a peer-to-peer (P2P) file-sharing network based on biological epidemics. During the downloading process, the peer shares the downloaded parts of the file and, thus, contributes to distributing it in the network. This behavior is similar to the spreading of epidemic diseases which is a well researched subject in mathematical biology. Unlike other P2P models based on epidemics, we show that steady state assumptions are not sufficient and that the granularity of the diffusion model may be appropriately selected.