Partitioning methods for multi-version XML data warehouses
Partitioning methods for multi-version XML data warehouses
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DOI：
10.1007/s10619-009-7034-y
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发表时间：
2009-04
影响因子：
1.2
通讯作者：
L. I. Rusu;W. Rahayu;D. Taniar
中科院分区：
文献类型：
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作者：
L. I. Rusu;W. Rahayu;D. Taniar
由于XML文档的爆炸式增长，在XML数据仓库中管理XML数据势在必行。 XML 仓库带来了关系数据仓库所没有的挑战。在本文中，我们首先提出了一个构建 XML 数据仓库模式的框架。为了满足数据量增加带来的可扩展性，我们提出了多种多版本XML数据仓库分区技术，包括基于文档的分区、基于模式的分区和级联（混合）分区模型。最后，我们制定成本模型来评估 XML 数据仓库的各种类型的查询。
Due to an explosive increase of XML documents, it is imperative to manage XML data in an XML data warehouse. XML warehousing imposes challenges, which are not found in the relational data warehouses. In this paper, we firstly present a framework to build an XML data warehouse schema. For the purpose of scalability due to the increase of data volume, we propose a number of partitioning techniques for multi-version XML data warehouses, includingdocumentbased partitioning,schemabased partitioning, andcascaded(mixed) partitioning model. Finally, we formulate cost models to evaluate various types of queries for an XML data warehouse.