Creator:

Napoli, Christian ; Pappalardo, Giuseppe ; Tramontana, Emiliano

Contributor:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Title:

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

Group publication title:

AMCS, Volume 26 (2016)

Subject and Keywords:

P2P model ; neural networks ; wavelets ; diffusion ; file sharing

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:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2016

Resource Type:

artykuł

DOI:

10.1515/amcs-2016-0010

Pages:

147-160

Source:

AMCS, volume 26, number 1 (2016) ; click here to follow the link

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego