Presentation 2005-07-13
Incremental IO Cost Estimation of Range Scan Using Update Difference of Database
Takashi HOSHINO, Kazuo GODA, Masaru KITSUREGAWA,
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Abstract(in English) This research targets autonomic database reorganization for DBMS. Reorganization counteracts structural deterioration in tablespace to recover performance. Structural deterioration through data updates is inevitable, therefore reorganization is an essential task in database administration. Autonomic database reorganization requires prediction of performance degradation with structural deterioration. In this paper, we proposed a method to estimate IO cost of range scan of database considering IO behavior inside hard disk drive, which can be quantitative performance estiamtion for reorganization trigger. The method requires only database updates without fully table scan and it can keep estimated IO cost incrementally with little update overhead. We implemented the method on MySQL and evaluated it with TPC-H benchmark.
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Keyword(in English) Incremental IO Cost Estimation / Structural Deterioration / Autonomic Database Reorganization / Relational Database System
Paper # DE2005-63
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Committee DE
Conference Date 2005/7/6(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Incremental IO Cost Estimation of Range Scan Using Update Difference of Database
Sub Title (in English)
Keyword(1) Incremental IO Cost Estimation
Keyword(2) Structural Deterioration
Keyword(3) Autonomic Database Reorganization
Keyword(4) Relational Database System
1st Author's Name Takashi HOSHINO
1st Author's Affiliation Graduate School of Information Science and Technology, University of Tokyo()
2nd Author's Name Kazuo GODA
2nd Author's Affiliation Institute of Industrial Science, University of Tokyo
3rd Author's Name Masaru KITSUREGAWA
3rd Author's Affiliation Institute of Industrial Science, University of Tokyo
Date 2005-07-13
Paper # DE2005-63
Volume (vol) vol.105
Number (no) 171
Page pp.pp.-
#Pages 6
Date of Issue