Opposition-based learning inspired particle swarm optimization (OPSO) scheme for task scheduling problem in cloud computing
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02730-4.pdf
Reference92 articles.
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2. Abdullahi M, Ngadi MA, Dishing SI, Abdulhamid SM, Ahmad BI (2019) An efficient symbiotic organisms search algorithm with chaotic optimization strategy for multi-objective task scheduling problems in cloud computing environment. J Netw Comput Appl 133:60–74. https://doi.org/10.1016/j.jnca.2019.02.005
3. Agarwal M, Srivastava GMS (2016) A genetic algorithm inspired task scheduling in cloud computing. In: 2016 International conference on computing, communication and automation (ICCCA). https://doi.org/10.1109/ccaa.2016.7813746
4. Agarwal M, Srivastava GMS (2017a) Cloud computing: a paradigm shift in the way of computing. Int J Mod Educ Comput Sci 9(12):38–48. https://doi.org/10.5815/ijmecs.2017.12.05
5. Agarwal M, Srivastava GMS (2017b) A cuckoo search algorithm-based task scheduling in cloud computing. Adv Intell Syst Comput. https://doi.org/10.1007/978-981-10-3773-3_29
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