Analyzing the Performance of Nature-Inspired Optimization Algorithms with Modified Grey Wolf Optimization for VM Migration Problems-Reference-Cited by-同舟云学术

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Analyzing the Performance of Nature-Inspired Optimization Algorithms with Modified Grey Wolf Optimization for VM Migration Problems

Published:2023-06-29 Issue:4 Volume:131 Page:2649-2674
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Kumar Deepak,Gandhi Anju Bhandari,Mehrotra Deepti,Singla Parveen,Gupta Suresh Chand,Athavale Vijay Anant

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-023-10564-4.pdf

Reference41 articles.

1. Donyagard Vahed, N., Ghobaei-Arani, M., & Souri, A. (2019). Multiobjective virtual machine placement mechanisms using nature-inspired metaheuristic algorithms in cloud environments: A comprehensive review. International Journal of Communication Systems, 32(14), e4068.

2. Abohamama, A. S., & Hamouda, E. (2020). A hybrid energy–aware virtual machine placement algorithm for cloud environments. Expert Systems with Applications, 150, 113306. https://doi.org/10.1016/j.eswa.2020.113306

3. Moges, F. F., & Abebe, S. L. (2019). Energy-aware VM placement algorithms for the OpenStack Neat consolidation framework. Journal of Cloud Computing, 8(1), 1–14. https://doi.org/10.1186/s13677-019-0126-y

4. Ibrahim, A., Noshy, M., Ali, H. A., & Badawy, M. (2020). PAPSO: A power-aware VM placement technique based on particle swarm optimization. IEEE Access, 8, 81747–81764. https://doi.org/10.1109/ACCESS.2020.2990828

5. Abdel-Basset, M., Abdle-Fatah, L., & Sangaiah, A. K. (2019). An improved Lévy based whale optimization algorithm for bandwidth-efficient virtual machine placement in cloud computing environment. Cluster Computing, 22(4), 8319–8334. https://doi.org/10.1007/s10586-018-1769-z

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