Load Balancing Strategies for Cloud Computing: A Comprehensive Review

Cloud computing has revolutionized the way modern applications and services are delivered, offering scalability, flexibility, and cost-efficiency. A key challenge in maximizing the benefits of cloud environments is the efficient distribution of workloads across virtual machines or servers. In order to determine which dynamic load balancing algorithm in cloud computing is the most efficient, the research work presents a thorough analysis and comparison. In this study, to maximize resource use, minimize response times, and improve overall system performance, well-known cloud-based load balancing algorithms are reviewed This research study uses a variety of methods, which are applied to real-world situations, such as FIFO, PHMEFT, Markov Process, DRALBA, and GWO-PSO. Further, this study helps the cloud experts to choose the best load balancing algorithms for particular use cases, which improves the system performance and enables the efficient use of resources in cloud environments.