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  • 标题:A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over BitTorrent
  • 本地全文:下载
  • 作者:Christian Napoli ; Giuseppe Pappalardo ; Emiliano Tramontana
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2016
  • 卷号:26
  • 期号:1
  • DOI:10.1515/amcs-2016-0010
  • 出版社:De Gruyter Open
  • 摘要: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.
  • 关键词:P2P model; neural network; wavelet; diffusion; file sharing
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