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Exploring proximity based peer clustering in BitTorrent-like Peer-to-Peer file sharing systems

机译:在类似BitTorrent的对等文件共享系统中探索基于邻近性的对等群集

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摘要

A hierarchical clustered BitTorrent (CBT) system is proposed to improve the file sharing performance of the BitTorrent system, in which peers are grouped into clusters in a large-scale BitTorrent-like underlying overlay network in such a way that clusters are evenly distributed and that the peers within the cluster are relatively close to each other. A fluid model is developed to compare the performance of the proposed CBT system with the BitTorrent system, and the result shows that the CBT system can effectively improve the performance of the system. Simulation results also demonstrate that the CBT system improves the system scalability and efficiency while retaining the robustness and incentives of the original BitTorrent paradigm.
机译:提出了一个分层群集的BitTorrent(CBT)系统来改进BitTorrent系统的文件共享性能,其中对等体以大规模的BitTorrent的底层覆盖网络中的群集分组,以这样的方式均匀分布集群内的对等体相对彼此相对较近。开发了一种流体模型以比较所提出的CBT系统与BitTorrent系统的性能,结果表明,CBT系统可以有效地提高系统的性能。仿真结果还表明,CBT系统可以提高系统可扩展性和效率,同时保留原始BitTorrent范式的鲁棒性和激励。

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