A P2P Network Topology Optimized Algorithm Based on Minimum Maximum K-Means Principle

Y. Ma, Zhenhua Tan, G. Chang, Xiaoxing Gao
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引用次数: 3

Abstract

The most popular routing algorithm in p2p network is that every node keeps a route table which records a certain number of other nodes. Such algorithm selects neighbor nodes at random, and this reduces routing efficiency. In this paper a new algorithm of optimizing p2p overlay network topology is proposed, which is based on minimum maximum k-means principle. According to the communication history, the division presents a steady network topology with k clusters and k cluster center nodes. This optimized p2p network topology presents a high performance of routing efficiency. The minimum maximum principle makes the division more appropriate, so that there will be less probability of being unsteady for the p2p network. The conclusions show that this algorithm is an efficient p2p network topology optimized algorithm.
基于最小最大k均值原理的P2P网络拓扑优化算法
p2p网络中最流行的路由算法是每个节点保留一个路由表,该路由表记录了一定数量的其他节点。该算法随机选择邻居节点,降低了路由效率。本文提出了一种基于最小最大k均值原理的p2p覆盖网络拓扑优化算法。根据通信历史,划分出具有k个集群和k个集群中心节点的稳定网络拓扑。优化后的p2p网络拓扑具有较高的路由效率。最小最大值原则使得划分更合适,使得p2p网络不稳定的概率更小。实验结果表明,该算法是一种高效的p2p网络拓扑优化算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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