Task scheduling using fuzzy logic with best-fit-decreasing for cloud computing environment-Reference-Cited by-同舟云学术

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Task scheduling using fuzzy logic with best-fit-decreasing for cloud computing environment

Published:2024-03-28 Issue:6 Volume:27 Page:7621-7636
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Thapliyal Nitin,Dimri Priti

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10586-024-04378-7.pdf

Reference29 articles.

1. Siddesha, K., Jayaramaiah, G.V., Singh, C.: A novel deep reinforcement learning scheme for task scheduling in cloud computing. Cluster Comput. 25(6), 4171–4188 (2022). https://doi.org/10.1007/s10586-022-03630-2

2. Khan, M.S.A., Santhosh, R.: Task scheduling in cloud computing using hybrid optimization algorithm. Soft. Comput.Comput. 26(23), 13069–13079 (2022). https://doi.org/10.1007/s00500-021-06488-5

3. Mangalampalli, S., Swain, S.K., Mangalampalli, V.K.: Multi objective task scheduling in cloud computing using cat swarm optimization algorithm. Arab. J. Sci. Eng. 47(2), 1821–1830 (2022). https://doi.org/10.1007/s13369-021-06076-7

4. Imene, L., Sihem, S., Okba, K., Mohamed, B.: A third generation genetic algorithm NSGAIII for task scheduling in cloud computing. J. King Saud Univ. Comput. Inf. Sci. 34(9), 7515–7529 (2022). https://doi.org/10.1016/j.jksuci.2022.03.017

5. Sharma, M., Kumar, M., Samriya, J.K.: An optimistic approach for task scheduling in cloud computing. Int. J. Inf. Technol. 14(6), 2951–2961 (2022). https://doi.org/10.1007/s41870-022-01045-1

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