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A view selection algorithm with performance guarantee
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Source Extending Database Technology; Vol. 360 archive
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology table of contents
Saint Petersburg, Russia
SESSION: Research sessions: Potpourri table of contents
Pages 946-957  
Year of Publication: 2009
ISBN:978-1-60558-422-5
Authors
Nicolas Hanusse  University of Bordeaux
Sofian Maabout  University of Bordeaux
Radu Tofan  University of Bordeaux
Publisher
ACM  New York, NY, USA
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ABSTRACT

A view selection algorithm takes as input a fact table and computes a set of views to store in order to speed up queries. The performance of view selection algorithm is usually measured by three criteria: (1) the amount of memory to store the selected views, (2) the query response time and (3) the time complexity of this algorithm. The two first measurements deal with the output of the algorithm. No existing solutions give good trade-off between amount of memory and queries cost with a small time complexity. We propose in this paper an algorithm guaranteeing a constant approximation factor of queries response time with respect to the optimal solution. Moreover, the time complexity for a D-dimensional fact table is O (D * 2D) corresponding to the fastest known algorithm. We provide an experimental comparison with two other well known algorithms showing that our approach also gives good performance in terms of memory.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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H. Mannila, H. Toivonen, and A. I. Verkamo. Efficient algorithms for discovering association rules. In KDD Workshop, 1994.
 
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K. Satoh and T. Uno. Enumerating maximal frequent sets using irredundant dualization. In Discovery Science conference proceedings, 2003.
 
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Collaborative Colleagues:
Nicolas Hanusse: colleagues
Sofian Maabout: colleagues
Radu Tofan: colleagues