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Job-resource matchmaking on Grid through two-level benchmarking

delete2010-10-01
delete19
PRE
AI
A
Andrea Clematis
A
Angelo Corana
D
Daniele D’Agostino
A
Antonella Galizia
A
Alfonso Quarati *
DOI:10.1016/j.future.2010.06.002delete
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摘要

摘要

En 中文
Grid environments must provide effective mechanisms able to select the most adequate resources satisfying application requirements. A description of applications and resources, grounded on a common and shared basis, is crucial to favour an effective pairing. A suitable criterion to match demand with supply is to characterize resources by means of their performance evaluated through the execution of low-level and application-specific benchmarks. We present GREEN, a distributed Matchmaker, based on a two-level benchmarking methodology. GREEN facilitates the ranking of Grid resources and the submission of jobs to the Grid, through the specification of both syntactic and performance requirements, independently of the underlying middleware and thus fostering Grid interoperability. (c) 2010 Elsevier B.V. All rights reserved.
Keyword:
Grid matchmaking
Benchmark-driven resource selection
Middleware interoperability
Job submission language extensions
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期刊

F
Future Generation Computer Systems-The International Journal of eScience
IF:
6.1
论文数:
6.9K
被引数:
2.3W

机构

C
consiglio nazionale delle ricerche (cnr)
学者数:
6.2W
论文数: 5.7W
被引数: 48
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