Autor:

Napoli, Christian ; Pappalardo, Giuseppe ; Tramontana, Emiliano

Współtwórca:

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

Tytuł:

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

Tytuł publikacji grupowej:

AMCS, Volume 26 (2016)

Temat i słowa kluczowe:

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.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Data wydania:

2016

Typ zasobu:

artykuł

DOI:

10.1515/amcs-2016-0010

Strony:

147-160

Źródło:

AMCS, volume 26, number 1 (2016) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Licencja CC BY 4.0:

kliknij tutaj, żeby przejść

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego