A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over BitTorrent

Author:

Napoli Christian1,Pappalardo Giuseppe1,Tramontana Emiliano1

Affiliation:

1. Department of Mathematics and Informatics, University of Catania, Viale Andrea Doria 6, 95126, Catania, Italy

Abstract

Abstract BitTorrent splits the files that are shared on a P2P network into fragments and then spreads these by giving the highest priority to the rarest fragment. We propose a mathematical model that takes into account several factors such as the peer distance, communication delays, and file fragment availability in a future period also by using a neural network module designed to model the behaviour of the peers. The ensemble comprising the proposed mathematical model and a neural network provides a solution for choosing the file fragments that have to be spread first, in order to ensure their continuous availability, taking into account that some peers will disconnect.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

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