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Constructing a balanced, (log(N)/1oglog(N))-diameter super-peer topology for scalable P2P systems

机译:为可扩展的P2P系统构建平衡的(log(N)/ 1oglog(N))直径超对等拓扑

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摘要

Current peer-to-peer (P2P) file sharing applications are remarkably simple and robust, but their inefficiency can produce very high network loads. The use of super-peers has been proposed to improve the performance of unstructured P2P systems. These have the potential to approach the performance and scalability of structured systems, while retaining the benefits of unstructured P2P systems. There has, however, been little consensus on the best topology for connecting these super-peers, or how to construct the topology in a distributed, robust way. In this paper we propose a scalable unstructured P2P system (SUPS). The unique aspect of SUPS is a protocol for the distributed construction of a super-peer topology that has highly desirable performance characteristics. The protocol is inspired by the theory of random graphs. We describe the protocol, and demonstrate experimentally that it produces a balanced and low-diameter super-peer topology at low cost. We show that the method is very robust to super-peer failures and inconsistent information, and compare it with other approaches.
机译:当前的对等(P2P)文件共享应用程序非常简单且健壮,但效率低下会产生很高的网络负载。已经提出使用超级对等体来提高非结构化P2P系统的性能。它们有可能接近结构化系统的性能和可伸缩性,同时保留非结构化P2P系统的优势。但是,关于连接这些超级对等点的最佳拓扑,或者如何以分布式,健壮的方式构建拓扑,几乎没有共识。在本文中,我们提出了一种可扩展的非结构化P2P系统(SUPS)。 SUPS的独特方面是用于超级对等拓扑的分布式构造的协议,该协议具有非常理想的性能特征。该协议受随机图理论的启发。我们描述了该协议,并通过实验证明了它以低成本产生了一种平衡且低直径的超对等拓扑。我们证明了该方法对于超级对等故障和信息不一致非常鲁棒,并将其与其他方法进行了比较。

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