Matchmaking frameworks for distributed resource management
Matchmaking frameworks for distributed resource management
Distributed computing in practice: the Condor experience: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
A grid computing based virtual laboratory for environmental simulations
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
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The effective and efficient computing resource allocation is a critical issue in the challenging achievement of realistic, high space and temporal resolution and computing time affordable weather, marine and soil flooding simulation and forecast. Resource allocation relies on matchmaking tool, which must be flexible and straightforward to be deployed, configured and used. Using the Globus Toolkit 4 and our resource broker service, we compared the ClassAd matchmaking algorithm with our matchmaking algorithm and then we integrated the two algorithms in order to avoid their drawbacks.