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A joint data and computation scheduling algorithm for the grid

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2007) 4641 LNCS 587-597
DOI: 10.1007/978-3-540-74466-5_62
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Abstract

In this paper a new scheduling algorithm for the Grid is introduced. The new algorithm (JDCS) combines data transfer and computation scheduling by a back-trace technique to reduce remote data preloading delay, and is aware of resource performance fluctuation in the Grid. Experiments show the effectiveness and adaptability of this new approach in the Grid environment. © Springer-Verlag Berlin Heidelberg 2007.

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Dong, F., & Akl, S. G. (2007). A joint data and computation scheduling algorithm for the grid. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4641 LNCS, pp. 587–597). Springer Verlag. https://doi.org/10.1007/978-3-540-74466-5_62

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