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A study of meta-scheduling architectures for high throughput computing

Abstract : In this paper we present a model and a simulator for large-scale system. Such platforms are composed of heterogeneous clusters of PCs belonging to a local network. These clusters are then connected to each other through a global network. Moreover each cluster is managed via a local scheduler and is shared by many users. We validate our simulator by comparing the experimental results and the analytical results of a M/M/4 queuing system. These studies indicate that the simulator is consistent. After that we do the comparison with a real batch system and we obtain a mean error of 10.5 \% for the response time and 12 \% for the makespan. We conclude that our simulator is realistic and describes well the behavior of a large-scale system. Thus we can study the scheduling of our system called \dirac in a high throughput context. We justify our decentralized, adaptive and opportunistic approach in comparison to a centralized approach in such a context.
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Submitted on : Wednesday, April 17, 2019 - 9:09:41 AM
Last modification on : Wednesday, October 26, 2022 - 8:14:31 AM


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  • HAL Id : hal-02101915, version 1



Eddy Caron, Vincent Garonne, Andreï Tsaregorodtsev. A study of meta-scheduling architectures for high throughput computing. [Research Report] LIP RR-2005-13, Laboratoire de l'informatique du parallélisme. 2005, 2+13p. ⟨hal-02101915⟩



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