Presentation 1997/12/3
Randomized Algorithm for Deciding the Partition of Index for Complex Objects
Ken HIGUCHI, Kazuhiro OGURA, Tatsuo TSUJI, Teruhisa HOCHIN,
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Abstract(in English) In parallel processing for index for complex objects placed on separate machines, the performance of processing is influenced by the partition of the index. But, the cost to estimate the performance on the real system is high and much time consuming. So, we propose the approximate evaluation function for the retrieval time and two algorithms for deciding the approximate best partition using this function. But the cost to search the minimum solution of this evaluation function is high and much time consuming. Therefore, our algorithms search an approximate minimum solution of this function in short time. We test and verify this evaluation function and our algorithms with simulation.
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Keyword(in English) index / complex object / parallel processing / multi-index / randomized algorithm
Paper # AI97-52
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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) Randomized Algorithm for Deciding the Partition of Index for Complex Objects
Sub Title (in English)
Keyword(1) index
Keyword(2) complex object
Keyword(3) parallel processing
Keyword(4) multi-index
Keyword(5) randomized algorithm
1st Author's Name Ken HIGUCHI
1st Author's Affiliation Department of Information Science, Fukui University()
2nd Author's Name Kazuhiro OGURA
2nd Author's Affiliation Multimedia Engineering Laboratory Toshiba Corporation
3rd Author's Name Tatsuo TSUJI
3rd Author's Affiliation Department of Information Science, Fukui University
4th Author's Name Teruhisa HOCHIN
4th Author's Affiliation Department of Information Science, Fukui University
Date 1997/12/3
Paper # AI97-52
Volume (vol) vol.97
Number (no) 416
Page pp.pp.-
#Pages 6
Date of Issue