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Data-Aware Scheduling of Scientific Workflows in Hybrid Clouds

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018) 10862 LNCS 708-714
DOI: 10.1007/978-3-319-93713-7_68
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Abstract

In this paper, we address the scheduling of scientific workflows in hybrid clouds considering data placement and present the Hybrid Scheduling for Hybrid Clouds (HSHC) algorithm. HSHC is a two-phase scheduling algorithm with a genetic algorithm based static phase and dynamic programming based dynamic phase. We evaluate HSHC with both a real-world scientific workflow application and random workflows in terms of makespan and costs.

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APA

Pasdar, A., Almi’ani, K., & Lee, Y. C. (2018). Data-Aware Scheduling of Scientific Workflows in Hybrid Clouds. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10862 LNCS, pp. 708–714). Springer Verlag. https://doi.org/10.1007/978-3-319-93713-7_68

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