DCHG-TS: a deadline-constrained and cost-effective hybrid genetic algorithm for scientific workflow scheduling in cloud computing |
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| Authors: | Iranmanesh Amir Naji Hamid Reza |
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| Affiliation: | 1.Faculty of Electronic and Computer Engineering, Department of Computer Engineering and Information Technology, Graduate University of Advanced Technology, Kerman, Iran
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| Abstract: | Cluster Computing - Cloud infrastructures are suitable environments for processing large scientific workflows. Nowadays, new challenges are emerging in the field of optimizing workflows such that... |
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