An Analytical Study of the Resource Diffusion in Non-homogeneous P2P Networks

One of the most popular P2P application is file sharing. Its purpose is to spread out different contents, ranging from multimedia to data and software. In order to understand the dynamics of such application, it is important to study the movement of shared resources across the network. We consider a non-homogeneous distribution of the resources, by grouping peers into Autonomous Systems. We propose a probabilistic model that takes into account the peers behavior, and we exploit it to study the resource diffusion and the impact of freeloaders.

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