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Balanced Neighbor Selection for BitTorrent-Like Networks

机译:平衡邻居选择BitTorrent的网络

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In this paper we propose a new way of constructing the evolving graph in BitTorrent (BT) as new peers join the system one by one. The maximum degree in the constructed graph will be O(1) while the diameter will remain O(ln n), with high probability, where n is the number of nodes. Considering a randomized upload policy, we prove that the distribution of b blocks on the overlay generated by our neighbor selection strategy takes O(b + lnn) phases only, with high probability, which is optimal up to a constant factor. It improves the previous upper bound of O(b + (lnn)~2) by Arthur and Panigrahy (SODA'06). Besides theoretical analysis, thorough simulations have been done to validate our algorithm and demonstrate its applicability in the BT network.
机译:在本文中,我们提出了一种在BitTorrent(BT)中构建演化图的新方法,因为新的同伴逐一加入系统。构造曲线图中的最大程度将是O(1),而直径将保持O(ln n),具有高概率,其中n是节点的数量。考虑到随机上传策略,我们证明了我们邻居选择策略产生的覆盖层上的B块的分布仅需要高概率,这是最佳的恒定因子。它通过Arthur和Panigray(SODA'ON'06)改善了O(B +(LNN)〜2)的先前上限。除了理论分析外,还完成了彻底的仿真来验证我们的算法,并展示其在BT网络中的适用性。

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