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基于兴趣分簇与物理位置感知的P2P网络模型 被引量:1

Peer-to-Peer Network Model Based on Interest Clustering and Physical Location-aware
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摘要 针对分布式非结构化P2P网络中搜索花费高,效率低的问题,提出了一种层次架构混合P2P网络模型。通过对节点的兴趣分簇,使兴趣相关的节点在网络中相近,查询消息路由到相关兴趣的节点上,有效提高了搜索效率;结合物理位置感知,使物理位置相近的节点在网络中也相近,改善了物理网络拓扑与虚拟拓扑不匹配的问题。 Aiming at the problems of high cost and low efficiency resource search in distributed unstructured P2P networks,the article proposes a layered hybrid P2P network model.By clustering nodes with interests,the nodes that have similar interest are close in the network.It will improve the searching efficiency by querying message routing to the related interest nodes.Combing physical location-aware will make the nodes which are close in the physical location to be close in the network,which improve the problem that physical network topology and virtual topology does not match.
作者 陈烁 徐光伟
出处 《微计算机信息》 2011年第6期139-142,共4页 Control & Automation
关键词 P2P网络 混合式P2P 兴趣分簇 物理位置感知 P2P Network Hybrid P2P Interest Clustering Physical Location-aware
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参考文献11

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