Presentation 2002/7/12
Classification of Sparsity Patterns and Performance Evaluation in OLAP Systems
Juyoung KANG, Hwanseung YONG, Yoshifumi MASUNAGA,
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Abstract(in English) CLAP performs the applications that interact with users and require fast response time over large amounts of data of data warehouse. Because these applications need a lot of multi-dimensional aggregation, it can take many hours or even days to run if executed directly on the raw data. Therefore, various kinds of precomputation techniques are proposed to handle this performance problem. However, sparse data of CLAP causes the data explosion problem in precomputation process and decreases the performance of CLAP. In this paper, we discuss the sparsity of CLAP data and the performance bottleneck problem. As a fundamental research on sparsity handling problem, we define the sparsity patterns and develop an automated data generation program according to the sparsity patterns. We evaluate the performance of two CLAP products, MS SQL Server 2000 Analysis Services and Pilot DSS (Decision Support Suite) with the generated data. Focusing on the sparsity handling ability, evaluation results also are presented.
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Keyword(in English) CLAP / Sparse Data / Sparsity Patterns
Paper # DE2002-71
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Committee DE
Conference Date 2002/7/12(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Classification of Sparsity Patterns and Performance Evaluation in OLAP Systems
Sub Title (in English)
Keyword(1) CLAP
Keyword(2) Sparse Data
Keyword(3) Sparsity Patterns
1st Author's Name Juyoung KANG
1st Author's Affiliation Department of Computer Science and Engineering, EIST, Ewha Womans University()
2nd Author's Name Hwanseung YONG
2nd Author's Affiliation Department of Computer Science and Engineering, EIST, Ewha Womans University
3rd Author's Name Yoshifumi MASUNAGA
3rd Author's Affiliation Dwartment of Information Science, Faculty of Science, Ochanomizu University
Date 2002/7/12
Paper # DE2002-71
Volume (vol) vol.102
Number (no) 209
Page pp.pp.-
#Pages 6
Date of Issue