We apply basic concepts of statistical physics to devise an approximate model describing the dynamics of content diffusion in large peer-to-peer networks. Our approach is based on fluid-diffusive equations, whose solution can be obtained by numerical evaluation with a complexity independent of the number of users and contents, thus allowing to analyze very large systems. The model is general and modular, and can incorporate the effect of both search and download processes.
A Statistical Physics Approach for Modelling P2P Systems
GAETA, Rossano;GARETTO, MICHELE;SERENO, Matteo
2005-01-01
Abstract
We apply basic concepts of statistical physics to devise an approximate model describing the dynamics of content diffusion in large peer-to-peer networks. Our approach is based on fluid-diffusive equations, whose solution can be obtained by numerical evaluation with a complexity independent of the number of users and contents, thus allowing to analyze very large systems. The model is general and modular, and can incorporate the effect of both search and download processes.
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