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- Enhancing XML Data Warehouse Query Performance by Fragmentation arxiv link

Auteur(s): Mahboubi H., Darmont J.

Conference: 24th Annual ACM Symposium on Applied Computing (SAC 09) (Hawaii, US, 2009)
Actes de conférence: 24th Annual ACM Symposium on Applied Computing (SAC 09), vol. p.1555-1562 (2009)
Texte intégral en Openaccess : arXiv

Ref HAL: hal-00411232_v1
Ref Arxiv: 0908.3957
Ref. & Cit.: NASA ADS
Exporter : BibTex | endNote

XML data warehouses form an interesting basis for decision-support applications that exploit heterogeneous data from multiple sources. However, XML-native database systems currently suffer from limited performances in terms of manageable data volume and response time for complex analytical queries. Fragmenting and distributing XML data warehouses (e.g., on data grids) allow to address both these issues. In this paper, we work on XML warehouse fragmentation. In relational data warehouses, several studies recommend the use of derived horizontal fragmentation. Hence, we propose to adapt it to the XML context. We particularly focus on the initial horizontal fragmentation of dimensions' XML documents and exploit two alternative algorithms. We experimentally validate our proposal and compare these alternatives with respect to a unified XML warehouse model we advocate for.