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Matching jobs with resources: an application-driven approach

Articolo
Data di Pubblicazione:
2010
Abstract:
We present a distributed matchmaking methodology based on a two-level (low-level and application-level) benchmarking, that allows the specification of both syntactic and performance requirements. In particular, we point out how the use of application-level benchmarks gives a more accurate characterization of resources, so enabling a better exploitation of Grid power. The proposed methodology relies on the use of standard description languages at both application and resource sides, to foster interoperability. Moreover, the proposed tool is independent of the underlying middleware, and its distributed structure supports scalability.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Grid platforms; Benchmark-driven resource selection; Interoperability; Job submission language extensions
Elenco autori:
Galizia, Antonella; Quarati, Alfonso; D'Agostino, Daniele; Clematis, Andrea; Corana, Angelo
Autori di Ateneo:
GALIZIA ANTONELLA
QUARATI ALFONSO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/157961
Pubblicato in:
SCALABLE COMPUTING. PRACTICE AND EXPERIENCE
Journal
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URL

http://www.scpe.org/index.php/scpe/article/view/645
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