Partitioning methods for multi-version XML data warehouses

Authors:
Laura Irina Rusu;Wenny Rahayu;David Taniar
Affiliations:
Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, Australia 3086;Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, Australia 3086;Clayton School of Information Technology, Monash University, Clayton, Australia 3800
Venue:
Distributed and Parallel Databases
Year:
2009

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Abstract

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, including document based partitioning, schema based partitioning, and cascaded (mixed) partitioning model. Finally, we formulate cost models to evaluate various types of queries for an XML data warehouse.