A hybrid multi-objective artificial bee colony algorithm for flexible task scheduling problems in cloud computing system
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
http://link.springer.com/content/pdf/10.1007/s10586-019-03022-z.pdf
Reference49 articles.
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3. Xiong, Y., Huang, S., Wu, M., She, J., Jiang, K.: A Johnson’s-rule-based genetic algorithm for two-stage-task scheduling problem in data-centers of cloud computing. IEEE Trans. Cloud Comput. (2017). https://doi.org/10.1109/TCC.2017.2693187
4. Li, X., Jiang, T., Ruiz, R.: Heuristics for periodical batch job scheduling in a MapReduce computing framework. Inf. Sci. 326, 119–133 (2016)
5. Wang, J.L., Gong, B., Liu, H., Li, S.H.: Multidisciplinary approaches to artificial swarm intelligence for heterogeneous computing and cloud scheduling. Appl. Intell. 43, 662–675 (2015)
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