<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over B<sc>it</sc>T<sc>orrent</sc>

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

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

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...

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

Online veröffentlicht: 31. März 2016

Seitenbereich: 147 - 160

Eingereicht: 20. Jan. 2015

DOI: https://doi.org/10.1515/amcs-2016-0010

Schlüsselwörter
P2P model, neural network, wavelet, diffusion, file sharing

© 2016 Christian Napoli et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Online veröffentlicht: 31. März 2016

Seitenbereich: 147 - 160

Eingereicht: 20. Jan. 2015

DOI: https://doi.org/10.1515/amcs-2016-0010

SchlüsselwörterP2P model, neural network, wavelet, diffusion, file sharing

© 2016 Christian Napoli et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
P2P model, neural network, wavelet, diffusion, file sharing