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Exploiting Correlation for Query Resolution in Multi-attribute Structured Peer-to-Peer Networks

机译:在多属性结构的对等网络中利用相关性进行查询解析

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A novel structured P2P architecture is presented for multi-attribute query search. The architecture uses a Ring-of-Rings topology, combined with a Bloom-filter based resolution scheme and a caching strategy to efficiently resolve queries for correlated attributes. The overlapped ring mechanism allows the system to adapt to the correlations among contents. Results indicate that using caching scheme and overlapped ring architecture produces nearly 63% reduction in latency in response, 67% reduction in hop counts and 16.4% reduction in cost of communication compared to the conventional methodologies. The results obtained in our proposed methodology has logarithmic time complexity and constant space complexity.
机译:提出了一种新颖的结构化P2P架构,用于多属性查询搜索。该体系结构使用环环拓扑结构,结合基于Bloom-filter的解析方案和缓存策略,可以有效地解析对相关属性的查询。重叠环机制使系统能够适应内容之间的相关性。结果表明,与传统方法相比,使用缓存方案和重叠环体系结构可将响应延迟减少近63%,跳数减少67%,通信成本减少16.4%。在我们提出的方法中获得的结果具有对数时间复杂度和恒定空间复杂度。

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