Presentation 2006-10-18
Effects of Data Migration for HotSpot on Parallel Storage Systems
Dai KOBAYASHI, Ryo TAGUCHI, Haruo YOKOTA,
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Abstract(in English) Data migration is an efficient method to handle skew of access-request distribution in parallel databases and distributed storage systems. In this paper, We report effects of data migration with range partitioning data placement under not database workload but more skewed workload distilled by large web server access history. We use a storage simulation program for observe behaviors of no overhead migration. The results of our experiments show us the effects of migration access workload, priority control of migration tasks and definition of load.
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Keyword(in English) distributed storage / skew handling / data migration / simulation
Paper # DE2006-129,DC2006-36
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Committee DE
Conference Date 2006/10/11(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) Effects of Data Migration for HotSpot on Parallel Storage Systems
Sub Title (in English)
Keyword(1) distributed storage
Keyword(2) skew handling
Keyword(3) data migration
Keyword(4) simulation
1st Author's Name Dai KOBAYASHI
1st Author's Affiliation Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology:Japan Society for the Promotion of Science()
2nd Author's Name Ryo TAGUCHI
2nd Author's Affiliation NHK Science & Technical Research Laboratories
3rd Author's Name Haruo YOKOTA
3rd Author's Affiliation Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology:Global Scientific Information & Computing Center, Tokyo Institute of Technology
Date 2006-10-18
Paper # DE2006-129,DC2006-36
Volume (vol) vol.106
Number (no) 291
Page pp.pp.-
#Pages 6
Date of Issue