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A statistical physics approach for modelling P2P systems
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Source ACM SIGMETRICS Performance Evaluation Review archive
Volume 33 ,  Issue 2  (September 2005) table of contents
Special issue on the workshop on MAthematical performance Modeling And Analysis (MAMA 2005)
Pages: 3 - 5  
Year of Publication: 2005
ISSN:0163-5999
Authors
Giovanna Carofiglio  Politecnico di Torino, Italy
Rossano Gaeta  Università di Torino, Italy
Michele Garetto  Politecnico di Torino, Italy
Paolo Giaccone  Politecnico di Torino, Italy
Emilio Leonardi  Politecnico di Torino, Italy
Matteo Sereno  Università di Torino, Italy
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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R. Gaeta, G. Balbo, S Bruell, M. Gribaudo, M. Sereno. A simple analytical framework to analyze search strategies in large-scale peer-to-peer networks. In Proc. of Performance 2005 Conference, October 2005, Juan-les-Pins, France.

Collaborative Colleagues:
Giovanna Carofiglio: colleagues
Rossano Gaeta: colleagues
Michele Garetto: colleagues
Paolo Giaccone: colleagues
Emilio Leonardi: colleagues
Matteo Sereno: colleagues