基于环的语义覆盖在P2P网络中的高效召回保证搜索研究

Zhenyu Li, Gaogang Xie
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引用次数: 3

摘要

提供保证召回的搜索对P2P网络至关重要。虽然构建语义覆盖可以提高搜索性能,但现有的设计在搜索时间和搜索质量(即高召回率)之间存在权衡。此外,它们需要使用高控制开销来维护覆盖层。在本文中,我们研究如何在保证高召回率的情况下实现快速搜索。支持搜索的覆盖拓扑看起来像一个环,增加了语义和弦链接。给定一个查询,rSearch使用多个查询行走器在环上独立地遍历,为答案找到相关的语义节点。环状结构有利于快速、低冗余的查询转发,而丰富的语义和弦链接则有利于实现大的语义集群。使用Bloom Filter对节点语义摘要进行编码和压缩,大大节省了控制开销。研究进一步考虑了流失弹性和网络感知来提高系统性能。广泛的模拟与现实生活中的文件共享跟踪和网络延迟跟踪表明,研究大大优于GES。
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rSearch: Ring-Based Semantic Overlay for Efficient Recall-Guaranteed Search in P2P Networks
Providing recall-guaranteed search is critical for P2P networks. While building semantic overlay improves search performance, existing designs suffer from a tradeoff between search time and search quality (i.e. high recall). Moreover, they require to use high control overhead for overlay maintenance. In this paper, we present rSearch to achieve fast search with guaranteed high recall. The rSearch-enabled overlay topology looks like a ring, augmented with semantic chord links. Given a query, rSearch uses multiple query walkers that traverse on the ring independently to find relevant semantic nodes for answers. The ring structure facilitates fast and low-redundancy query forwarding, while the abundant semantic chord links enable large semantic clusters. Bloom Filter is used to encode and compress node semantic summaries, greatly saving control overhead. rSearch further considers churn resilience and network awareness to enhance system performance. Extensive simulations with real-life file sharing trace and network latency trace show that rSearch greatly outperforms GES.
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