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Job–resource matchmaking on Grid through two-level benchmarking

Authors :
Angelo Corana
Andrea Clematis
Antonella Galizia
Daniele D'Agostino
Alfonso Quarati
Source :
Future generation computer systems 26 (2010): 1165–1179. doi:10.1016/j.future.2010.06.002, info:cnr-pdr/source/autori:A. Clematis, A. Corana, D. D'Agostino, A.Galizia, and A. Quarati/titolo:Job-resource matchmaking on grid through two-level benchmarking/doi:10.1016%2Fj.future.2010.06.002/rivista:Future generation computer systems/anno:2010/pagina_da:1165/pagina_a:1179/intervallo_pagine:1165–1179/volume:26
Publication Year :
2010
Publisher :
Elsevier BV, 2010.

Abstract

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.

Details

ISSN :
0167739X
Volume :
26
Database :
OpenAIRE
Journal :
Future Generation Computer Systems
Accession number :
edsair.doi.dedup.....6481d0dc58ebbb053791255fe853645d
Full Text :
https://doi.org/10.1016/j.future.2010.06.002