A systematic literature review for load balancing and task scheduling techniques in cloud computing
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10462-024-10925-w.pdf
Reference95 articles.
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2. Adil M, Nabi S, Raza S (2022) PSO-CALBA: Particle swarm optimization based content-aware load balancing algorithm in cloud computing environment. Comput Inform 41(5):1157–1185. https://doi.org/10.31577/cai_2022_5_1157
3. Adil M, Nabi S, Aleem M, Diaz VG, Lin JC-W (2023) CA-MLBS: content-aware machine learning based load balancing scheduler in the cloud environment. Expert Syst. https://doi.org/10.1111/exsy.13150
4. Agarwal R, Baghel N, Khan MA (2020) Load balancing in cloud computing using mutation based particle swarm optimization. In: presented at the 2020 International Conference on Contemporary Computing and Applications, IC3A 2020, pp 191–195 https://doi.org/10.1109/IC3A48958.2020.233295
5. Alahmad Y, Agarwal A (2024) Multiple objectives dynamic VM placement for application service availability in cloud networks. J Cloud Comput. https://doi.org/10.1186/s13677-024-00610-2
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