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Job–resource matchmaking on Grid through two-level benchmarking
- 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.
- Subjects :
- Computer Networks and Communications
Computer science
Distributed computing
Grid matchmaking
Middleware interoperability
Job submission language extensions
Benchmarking
Grid
computer.software_genre
DRMAA
Semantic grid
Resource (project management)
Benchmark-driven resource selection
Grid computing
Hardware and Architecture
Middleware (distributed applications)
Middleware
computer
Software
Subjects
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