A hybrid genetic algorithm for scientific workflow scheduling in cloud environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-04878-8.pdf
Reference31 articles.
1. Poola D, Ramamohanarao K, Buyya R (2014) Fault-tolerant workflow scheduling using spot instances on clouds. Procedia Comput Sci 29(12):523–533. https://doi.org/10.1016/j.procs.2014.05.047
2. Wang J, Abdelbaky M, Diaz-Montes J, Purawat S, Parashar M, Altintas I (2016) Kepler + cometcloud: dynamic scientific workflow execution on federated cloud resources. Procedia Comput Sci 80(12):700–711. https://doi.org/10.1016/j.procs.2016.05.363
3. Alkhanak EN, Lee SP, Rezaei R, Parizi RM (2016) Cost optimization approaches for scientific workflow scheduling in cloud and grid computing: a review, classifications, and open issues. J Syst Softw 113:1–26. https://doi.org/10.1016/j.jss.2015.11.023
4. Aziza H, Krichen S (2018) Bi-objective decision support system for task-scheduling based on genetic algorithm in cloud computing. Computing 100(2):65–91. https://doi.org/10.1007/s00607-017-0566-5
5. Jiang Q, Lee YC, Arenaz M, Leslie LM, Zomaya AY (2014) Optimizing scientific workflows in the cloud: a montage example. In: 2014 IEEE/ACM 7th international conference on utility and cloud computing, December 2014, pp 517–522. https://doi.org/10.1109/UCC.2014.77
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