Optimizing Resource Allocation using Metaheuristic Approach for Load Balancing in Cloud Computing

Load balancing ensures equal resource allocation for optimal utilization and high user satisfaction. Recent algorithms like PSO (Particle Swarm Optimization) and ILOA (Improved Lion Optimization Algorithm) enhance Quality of Services (QoS), throughput, response time, energy consumption, and fault tolerance in cloud environments. This paper reviews load balancing techniques and parameters, showing that PSO compared with ILOA has 40% better results, than ILOA's 25%, Power Conversion's 20%, and Power Time Expense Reduction's 15%.