Presentation 2008-04-23
A Clustering to Regularize Task Granule for Distributed Environment
Hidehiro KANEMITSU, Hidenori NAKAZATO, Takashige HOSHIAI, Yoshiyori URANO,
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Abstract(in English) In a distributed machine environment, it is very important to control task grain size to take balance between each task's execution time and communication delays. We have proposed "Task Merging", which minimizes the increase in the longest path (LP) of DAG and guarantees the lower bound of the grain size in each assigned machine in order to reduce the response time. However, if a degree of parallelism in a original DAG is high, it can not reduce incrernents of length in the LP. If method for controling task grain size is based on task clustering, which put together several tasks without synchronizing execution and communication in each task, such a method may reduce the response time more. In this paper, we study several criteria for performing clustering for task grain size control.
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Keyword(in English) DAG / task clustering / task assignment / scheduling
Paper # CPSY2008-2,DC2008-2
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Committee DC
Conference Date 2008/4/16(1days)
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Paper Information
Registration To Dependable Computing (DC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Clustering to Regularize Task Granule for Distributed Environment
Sub Title (in English)
Keyword(1) DAG
Keyword(2) task clustering
Keyword(3) task assignment
Keyword(4) scheduling
1st Author's Name Hidehiro KANEMITSU
1st Author's Affiliation Global Information and Telecommunication Institute, Waseda Univeristy()
2nd Author's Name Hidenori NAKAZATO
2nd Author's Affiliation Global Information and Telecommunication Institute, Waseda Univeristy
3rd Author's Name Takashige HOSHIAI
3rd Author's Affiliation Global Information and Telecommunication Institute, Waseda Univeristy
4th Author's Name Yoshiyori URANO
4th Author's Affiliation Global Information and Telecommunication Institute, Waseda Univeristy
Date 2008-04-23
Paper # CPSY2008-2,DC2008-2
Volume (vol) vol.108
Number (no) 15
Page pp.pp.-
#Pages 6
Date of Issue