An Energy and Deadline-Aware Scheduler with Hybrid Optimization in Virtualized Clouds
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-023-01502-2.pdf
Reference15 articles.
1. Raju IRK, Varma PS, Sundari MR, Moses GJ (2016) Deadline aware two stage scheduling algorithm in cloud computing. Indian J Sci Technol 9(4):1–10. https://doi.org/10.17485/ijst/2016/v9i4/80553
2. Kaur T, Chana I (2016) Energy aware scheduling of deadline-constrained tasks in cloud computing. Clust Comput 19(2):679–698. https://doi.org/10.1109/CBD.2016.030
3. Nanjappan M, Albert P (2022) Hybrid-based novel approach for resource scheduling using MCFCM and PSO in cloud computing environment. Concurr Comput Pract Experience 34(7):e5517. https://doi.org/10.1002/cpe.5517
4. Chaudhury KS (2021) A particle swarm and ant colony optimization based load balancing and virtual machine scheduling algorithm for cloud computing environment. Turk J Comput Math Edu (TURCOMAT) 12(11):3885–3898. https://doi.org/10.1109/CESYS.2016.7889943
5. Balaji K, Sai Kiran P, Sunil Kumar M (2022) Power aware virtual machine placement in IaaS cloud using discrete firefly algorithm. Appl Nanosci. https://doi.org/10.1007/s13204-021-02337-x
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