Managing a fragmented XML data cube with oracle and timesten

  • Authors:
  • Doulkifli Boukraâ;Omar Boussaïd;Fadila Bentayeb;Djamel Eddine Zegour

  • Affiliations:
  • University of Jijel, Jijel, Algeria;University Lumiere, Lyon 2, Bron, France;University Lumiere, Lyon 2, Bron, France;cole Nationale Supérieure d'Informatique, Algiers, Algeria

  • Venue:
  • Proceedings of the fifteenth international workshop on Data warehousing and OLAP
  • Year:
  • 2012

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Abstract

In this paper, we cross two techniques for performance tuning of an XML cube. We analyze six configurations for managing the cube. The configurations result from storing two variants of the cube (unfragmented and fragmented) in different ways. First, we consider a disk-resident database. Then, we consider caching the frequent properties of the unfragmented cube and the frequent fragments of the fragmented cube. Finally, we load and manage the entire cube into the main memory. We show the benefits of vertical fragmentation and in-memory management of the XML cube through a set of experiments.