@misc{Napoli_Christian_A,
 author={Napoli, Christian and Pappalardo, Giuseppe and Tramontana, Emiliano},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 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.},
 type={artykuł},
 title={A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over BitTorrent},
 keywords={P2P model, neural networks, wavelets, diffusion, file sharing},
}