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Data & Knowledge Engineering
Volume 49, Issue 3, June 2004, Pages 325-351
 
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doi:10.1016/j.datak.2003.11.001    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2003 Elsevier B.V. All rights reserved.

Materialization of fragmented views in multidimensional databases

Matteo GolfarelliE-mail The Corresponding Author, a, Vittorio ManiezzoE-mail The Corresponding Author, b and Stefano RizziCorresponding Author Contact Information, E-mail The Corresponding Author, a

a DEIS, University of Bologna, Viale Risorgimento 2, 40136, Bologna, Italy b Department of Computer Science, University of Bologna, Mura Anteo Zamboni 7, 40127, Bologna, Italy

Received 20 February 2003; 
Revised 9 September 2003; 
accepted 12 November 2003. 
Available online 4 December 2003.

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Abstract

The most effective technique to enhance performances of multidimensional databases consists in materializing redundant aggregates called views. In the classical approach to materialization, each view includes all and only the measures of the cube it aggregates. In this paper we investigate the benefits of materializing views in vertical fragments, aimed at minimizing the workload response time. We formalize the fragmentation problem as a 0–1 integer linear programming problem, which is then solved by means of a standard integer programming solver to determine the optimal fragmentation for a given workload. Finally, we demonstrate the usefulness of fragmentation by presenting a large set of experimental results based on the TPC-H benchmark.

Author Keywords: Data warehousing; Optimization and performance; View materialization

Article Outline

1. Introduction
2. Background
2.1. Cubes
Cube scheme and cube
2.2. The workload
2.3. Candidate views
3. Materialization of fragmented views
Fragment
3.1. Fragmentation vs. classical materialization: an example
3.2. Problem formulation
VFP
4. Experimental results
4.1. Benefit
4.2. Processing
4.3. Optimality
4.4. Impact on design
4.5. Robustness
4.6. Storage space
4.7. Computation
5. Related work
6. Conclusions
Appendix A. The cost function
References
Vitae








 
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