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

Christian Napoli; Giuseppe Pappalardo; Emiliano Tramontana

International Journal of Applied Mathematics and Computer Science (2016)

- Volume: 26, Issue: 1, page 147-160
- ISSN: 1641-876X

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topChristian Napoli, Giuseppe Pappalardo, and Emiliano Tramontana. "A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over BitTorrent." International Journal of Applied Mathematics and Computer Science 26.1 (2016): 147-160. <http://eudml.org/doc/276592>.

@article{ChristianNapoli2016,

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.},

author = {Christian Napoli, Giuseppe Pappalardo, Emiliano Tramontana},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {P2P model; neural network; wavelet; diffusion; file sharing},

language = {eng},

number = {1},

pages = {147-160},

title = {A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over BitTorrent},

url = {http://eudml.org/doc/276592},

volume = {26},

year = {2016},

}

TY - JOUR

AU - Christian Napoli

AU - Giuseppe Pappalardo

AU - Emiliano Tramontana

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

JO - International Journal of Applied Mathematics and Computer Science

PY - 2016

VL - 26

IS - 1

SP - 147

EP - 160

AB - 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.

LA - eng

KW - P2P model; neural network; wavelet; diffusion; file sharing

UR - http://eudml.org/doc/276592

ER -

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