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基于分类检索的自聚簇P2P系统 被引量:2

An Auto-clustering Peer-to-Peer System Based on Classification Search
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摘要 非结构化的P2P系统,进行资源查找定位时采用“洪泛”方法,这不仅限制了资源搜索的效率和系统的可扩展性,而且也给网络带来了额外的负担。为了提高系统性能,提出了一种建立在分层结构基础上的基于分类检索的自聚簇P2P系统(ACP2P),并实现其原形系统。数据包级的网络模拟实验表明,系统能有效地提高资源定位的效率,显著改善自身的可扩展性。 Unstructured Peer-to-Peer network uses flooding algorithm to route searching messages which not only brings unnecessary expenditure of network bandwidth, but also limits the rate of resource searching and expandability of P2P system. In order to decrease the influence of this problem, this paper presented a new auto-clustering Peer-to-Peer system (ACP2P) based on classification search, and implemented the archetype of this system. The experiments using network simulator based on data packets show that the system can increase the rate of resource searching and expandability effectively.
作者 范刚龙
出处 《武汉理工大学学报》 CAS CSCD 北大核心 2006年第7期105-108,112,共5页 Journal of Wuhan University of Technology
基金 华中科技大学研究生基金(X50)
关键词 对等网络 幂规律 小世界 语义覆盖网 分类检索 Peer-to-Peer(P2P) power law small world SONs classification search
作者简介 范刚龙(1965-),男,副教授.E—mail:fanganglong@sohu.com
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参考文献6

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