The BitTorrent mechanism effectively spreads file fragments by copying the rarest fragments first. We propose to apply a mathematical model for the diffusion of fragments on a P2P in order to take into account both the effects of peer distances and the changing availability of peers while time goes on. Moreover, we manage to provide a forecast on the availability of a torrent thanks to a neural network that models the behaviour of peers on the P2P system. The combination of the mathematical model and the neural network provides a solution for choosing file fragments that need to be copied first, in order to ensure their continuous availability, counteracting possible disconnections by some peers.
Titolo: | Improving files availability for BitTorrent using a diffusion model |
Autori interni: | |
Data di pubblicazione: | 2014 |
Handle: | http://hdl.handle.net/20.500.11769/75363 |
ISBN: | 978-1-4799-4248-0 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |