Optimization of Decentralized Scheduling for Physic Applications in Grid Environments

dc.creatorPop, Florin
dc.date2008-12-11
dc.date.accessioned2026-07-07T12:12:01Z
dc.date.available2026-07-07T12:12:01Z
dc.descriptionThis paper presents a scheduling framework that is configured for, and used in physic systems. Our work addresses the problem of scheduling various computationally intensive and data intensive applications that are required for extracting information from satellite images. The proposed solution allows mapping of image processing applications onto available resources. The scheduling is done at the level of groups of concurrent applications. It demonstrates a very good behavior for scheduling and executing groups of applications, while also achieving a near-optimal utilization of the resources.
dc.identifierhttps://arxiv.org/abs/0812.2164
dc.identifierhttp://arxiv.org/abs/0812.2164
dc.identifierD. Iordache, P. Sterian (eds.), Proceedings of the 4th edition of the Colloquium Mathematics in Engineering and Numerical Physics, pp. 150-153, October 6-8, Ed. Printech, 2007, ISBN: 978-973-718-761-1
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/210412
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectComputational Physics
dc.titleOptimization of Decentralized Scheduling for Physic Applications in Grid Environments
dc.typetext

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