Hybrid Metaheuristic Approach for Optimal Load Balancing in Heterogeneous Cloud Environments Using PSO and WOA

Author(s)	Mr. JOSHI SAMIR N, Ms. SHILU RUPAL R
Country	India
Abstract	Cloud computing has transformed the delivery of computational services. However, load balancing in heterogeneous cloud environments remains a complex challenge due to dynamic resource availability and fluctuating workloads. This paper presents a novel hybrid metaheuristic algorithm combining Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA) to achieve optimal load distribution. The proposed hybrid method harnesses the exploration ability of PSO and the exploitation strengths of WOA. Experimental results show significant improvements in task execution time, load uniformity, and overall system throughput compared to using PSO or WOA independently.
Keywords	Particle Swarm Optimization Algorithm, Whale Optimization Algorithm, Hybrid Metaheuristic Algorithm
Field	Computer > Network / Security
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-14
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.45037

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