A reactive search optimization algorithm for scientific workflow scheduling using clustering techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02480-3.pdf
Reference19 articles.
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3. Deelman E, Mandal A, Jiang M, Sakellariou R (2019) The role of machine learning in scientific workflows. Int J High Perform Comput Appl 33:1128–1139
4. Eusuff M, Lansey K, Pasha F (2006) Shuffled frog leaping algorithm: a memetic meta-heuristic for discrete optimization. Eng Optim 38:129–154
5. Gao Y, Zhang S, Zhou J (2019) A hybrid algorithm for multi-objective scientific workflow scheduling in IaaS Cloud. IEEE Access 7:125783–125795
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