Presentation 1997/12/3
Parallel Processing of Multiple Aggregate Queries on Shared-Nothting Multiprocessors
Hirofumi MATSUZAWA, Takeshi FUKUDA,
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Abstract(in English) Decision support systems that include on-line analytical processing and data mining have recently attracted research attention. Such applications treat data in very large databases as multidimensional data cubes. Each cell of a data cube typically is some aggregation, such as total sales volume, that is of interest to analysts. Since it may be necessary to compute many cells, and the performance is critical, we propose parallel algorithms that compute multiple aggregate queries in data cubes on a shared-nothing multiprocessor with high-bandwidth communication facilities. We evaluate the algorithms on the basis of analytical modeling and an implementation on an IBM SP2 system.
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Keyword(in English) data mininig / decision support system / data cube / aggregate query / shared-nothing multiprocessors
Paper # AI97-54
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Committee AI
Conference Date 1997/12/3(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Parallel Processing of Multiple Aggregate Queries on Shared-Nothting Multiprocessors
Sub Title (in English)
Keyword(1) data mininig
Keyword(2) decision support system
Keyword(3) data cube
Keyword(4) aggregate query
Keyword(5) shared-nothing multiprocessors
1st Author's Name Hirofumi MATSUZAWA
1st Author's Affiliation Tokyo Research Laboratory, IBM Research()
2nd Author's Name Takeshi FUKUDA
2nd Author's Affiliation Tokyo Research Laboratory, IBM Research
Date 1997/12/3
Paper # AI97-54
Volume (vol) vol.97
Number (no) 416
Page pp.pp.-
#Pages 6
Date of Issue