A statistical physics approach for modelling P2P systems

  • Authors:
  • Giovanna Carofiglio;Rossano Gaeta;Michele Garetto;Paolo Giaccone;Emilio Leonardi;Matteo Sereno

  • Affiliations:
  • Politecnico di Torino, Italy;Università di Torino, Italy;Politecnico di Torino, Italy;Politecnico di Torino, Italy;Politecnico di Torino, Italy;Università di Torino, Italy

  • Venue:
  • ACM SIGMETRICS Performance Evaluation Review - Special issue on the workshop on MAthematical performance Modeling And Analysis (MAMA 2005)
  • Year:
  • 2005

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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.