A Novel Hybrid Load Balancing Method to Achieve Quality of Service(QoS) in Cloud-Based Environments

Cloud computing has emerged as a significant paradigm, providing scalable and on-demand service delivery. However, maintaining Quality of Service (QoS) remains as a major concern. A fundamental approach, load balancing, attempts to enhance resource utilization and reduce response time by efficiently distributing incoming requests across servers. To address the dynamic nature of cloud workloads, this research study presents a hybrid strategy to combine static and dynamic solutions. To achieve higher load-balancing performance, the proposed technique combines the advantages of static load balancing and dynamic Ant Colony Optimization (ACO). The proposed approach is then tested using QoS measures, such as response time and resource utilization by using a prototype or simulation.