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arXiv 1409.4565cs.NIcs.NE
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使用扩散模型提高BitTorrent的文件可用性

Improving files availability for BitTorrent using a diffusion model

Christian Napoli, Giuseppe Pappalardo, Emiliano Tramontana

摘要:

BitTorrent机制通过首先复制最稀有的片段来有效地传播文件片段。我们建议应用一个数学模型的扩散片段上的P2P,以考虑到双方的影响对等距离和不断变化的可用性的同行,而时间goeson.Therefore,我们设法提供一个预测的可用性的洪流感谢一个神经网络,模型的行为对等的P2P系统。数学模型和神经网络的组合提供了一种选择需要首先复制的文件片段的解决方案,以确保它们的连续可用性,抵消一些对等体可能的断开连接。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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