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Schema-Assisted Peer Selection for XML Querying in Unstructured P2P Systems

机译:非结构化P2P系统中XML查询的模式辅助对等选择

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摘要

XML is emerging as the de-facto standard for semi structured contents and metadata. Searching this content in mobile environments is challenging, since centralized approaches are not appropriate in a very dynamic environment with limited resources available for keeping a centralized index up-to-date. A more appropriate solution is to organize the mobile devices in an unstructured peer-to-peer (P2P) network. The main challenge in the context of unstructured P2P is to determine the peers that might store documents matching a query, i.e., peer selection. In this paper, we propose a summary caching method for increasing the efficiency and recall of peer selection during XML querying. Our approach is based on caching parts of XML schemas along the query path, to enable subsequent jumps to remote peers storing content relevant to the query. We evaluate the performance improvements of our search strategy in terms of completeness of the search and reduced latency. The results show that our approach can significantly enhance a naive query mechanism such as flooding, and consistently outperform a baseline path caching technique similar to techniques used in related work.
机译:XML逐渐成为半结构化内容和元数据的实际标准。在移动环境中搜索此内容具有挑战性,因为集中式方法不适用于动态环境非常有限且可用于保持集中式索引最新的有限资源。一种更合适的解决方案是在非结构化对等(P2P)网络中组织移动设备。在非结构化P2P上下文中的主要挑战是确定可能存储与查询匹配的文档(即对等体选择)的对等体。在本文中,我们提出了一种摘要缓存方法,以提高XML查询期间对等体选择的效率和召回率。我们的方法基于沿查询路径缓存XML模式的部分,以允许随后跳转到存储与查询相关的内容的远程对等方。我们根据搜索的完整性和减少的延迟来评估搜索策略的性能改进。结果表明,我们的方法可以显着增强诸如泛洪之类的幼稚查询机制,并且始终优于与相关工作中使用的技术类似的基线路径缓存技术。

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