Distributed and Parallel Databases

, Volume 25, Issue 1, pp 47–69

Partitioning methods for multi-version XML data warehouses


DOI: 10.1007/s10619-009-7034-y

Cite this article as:
Rusu, L.I., Rahayu, W. & Taniar, D. Distrib Parallel Databases (2009) 25: 47. doi:10.1007/s10619-009-7034-y


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.


Multi-version XML warehouse Data partitioning Data warehousing physical design Storage for multi-version XML documents XML data warehousing 

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Department of Computer Science and Computer EngineeringLa Trobe UniversityBundooraAustralia
  2. 2.Clayton School of Information TechnologyMonash UniversityClaytonAustralia

Personalised recommendations