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A METHOD OF XML DOCUMENT FRAGMENTATION FOR REDUCING TIME OF XML FRAGMENT STREAM QUERY PROCESSING

机译:一种减少XML片段流查询处理时间的XML文档片段化方法

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摘要

As XML has been established as the standard for data exchange not just on the Web but among heterogeneous devices, systems, and applications, effective processing of XML queries is one of core components of ubiquitous computing. Most of the mobile/hand-held devices deployed in ubiquitous computing environment are still limited in memory and processing power. An effective query processing is required when the source XML document is of large volume. The framework of fragmenting an XML document and streaming the XML fragments for query processing at the mobile devices has received much attention. However, the main focus was on the memory efficiency to cope with the memory constraint in the mobile devices. Query processing time might be compromised in those techniques. Since the processing power is also limited in the mobile devices, the time optimization deserves attention. We have found out that the query processing time is significantly affected by how the source XML document is fragmented. In this paper, we propose a method of XML document fragmentation whereby query processing gets efficient in time while the size constraint for each resulting fragment is satisfied. Through implementation and a set of detailed experiments, we show that our proposed method considerably outperforms other methods.
机译:由于XML已被确立为不仅在Web上而且在异构设备,系统和应用程序之间进行数据交换的标准,因此XML查询的有效处理是普适计算的核心组件之一。部署在无处不在的计算环境中的大多数移动/手持设备的内存和处理能力仍然受到限制。当源XML文档量很大时,需要有效的查询处理。分割XML文档并在移动设备上流化XML片段以进行查询处理的框架已受到广泛关注。但是,主要关注点是内存效率以应对移动设备中的内存限制。在这些技术中,查询处理时间可能会受到影响。由于移动设备的处理能力也受到限制,因此时间优化值得关注。我们发现,查询处理时间受源XML文档的片段化方式的影响很大。在本文中,我们提出了一种XML文档分片的方法,该方法可以在满足每个结果分片的大小约束的同时,使查询处理及时有效。通过实施和一组详细的实验,我们证明了我们提出的方法大大优于其他方法。

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