Abstract

Cloud computing has revolutionized the way resources are managed and utilized in modern IT infrastructures. Efficient resource allocation and load balancing are crucial for ensuring optimal performance and resource utilization in cloud environments. This paper presents a robust load balancing strategy that integrates an enhanced Particle Swarm Optimization (PSO) algorithm with Virtual Machine (VM) load balancing techniques to achieve optimal resource allocation in cloud environments. The proposed approach aims to minimize response time, maximize throughput, and improve resource utilization by dynamically allocating resources based on workload demands. Experimental results demonstrate the effectiveness and efficiency of the proposed strategy in achieving optimal resource allocation and enhancing the overall performance of cloud systems.

Description