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SWS: Small World Based Search in Structured Peer-to-Peer Systems

机译:SWS:结构化对等系统中基于小世界的搜索

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The maintenance of overlay topologies in structured P2P (DHTs) will lead to great message overhead because of the sharp dynamic of the peers. And the DHTs are less usable because the strategy of DHT discards the useful application-specific information. Here we present a usable and easy to maintain search algorithm for structured P2P systems, Small World based Search (SWS). In SWS, the structure of semantic tree is introduced to organize the peers. The semantic distance of two peers is formed according to their relative position in semantic tree. The different distance between two peers will result in different connection probability, which lead to the sense of routing orientation. The mechanisms of "lazily-maintained" and "passively-modified" are used to decrease the overhead of overlay maintenance. The final simulation experiment shows, SWS can improve the usability if given the ontology definition of the semantic tree, and remarkably decrease the cost of the topology maintenance
机译:由于对等节点的动态变化,结构化P2P(DHT)中覆盖拓扑的维护将导致巨大的消息开销。而且DHT的可用性较差,因为DHT的策略会丢弃有用的特定于应用程序的信息。在这里,我们提出了一种用于结构化P2P系统的可用且易于维护的搜索算法,即基于小世界的搜索(SWS)。在SWS中,引入了语义树的结构来组织对等体。根据两个对等体在语义树中的相对位置来形成其语义距离。两个对等点之间的不同距离将导致不同的连接概率,从而导致路由方向感。 “延迟维护”和“被动修改”的机制用于减少覆盖维护的开销。最终的仿真实验表明,如果给定语义树的本体定义,SWS可以提高可用性,并显着降低拓扑维护成本

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