Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2008-12-11
D. Iordache, P. Sterian (eds.), Proceedings of the 4th edition of the Colloquium Mathematics in Engineering and Numerical Phys
Computer Science
Distributed, Parallel, and Cluster Computing
Scientific paper
This 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.
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