NAS Grid Benchmarks: A Tool for Grid Space Exploration
Cluster Computing
A framework for adaptive execution in grids
Software—Practice & Experience
How the JSDL can Exploit the Parallelism?
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Grid benchmarking: vision, challenges, and current status: Research Articles
Concurrency and Computation: Practice & Experience
Characterization of Computational Grid Resources Using Low-Level Benchmarks
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
GridBench: A tool for the interactive performance exploration of Grid infrastructures
Journal of Parallel and Distributed Computing
Future Generation Computer Systems
A Distributed Approach for Structured Resource Discovery on Grid
CISIS '08 Proceedings of the 2008 International Conference on Complex, Intelligent and Software Intensive Systems
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Grid Technologies supply users with high computational and storage resources to execute demanding applications. To this end, Grid environments must provide query and discovery tools, able to select the most suitable resource(s) satisfying application requirements. A description of application and resources, grounded on a common and shared basis, is therefore crucial to favour an effective pairing. A viable criterion to match demand (job) with supply (computational resource) is to characterize resources by means of their performance evaluated through benchmarks relevant to the application. We introduce GREEN, a distributed matchmaker, based on a two-level benchmarking methodology. GREEN facilitates 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.