Load Balancing in Cloud Computing with Enhanced Genetic Algorithm

Cloud computing is an emerging technology in the computer and information technology industry where the computing and all other task are moved to a cloud platforms. Cloud computing is a flexible approach to enhance capacity and expand capabilities without the need for substantial investments in infrastructure, personnel training, or software licensing. The main objective of this paper is to address the challenges related to load balancing in cloud computing and propose techniques to mitigate waiting time and turnaround time. Load balancing is accomplished through the utilization of load balancers, which efficiently redirect incoming requests while ensuring transparency to the requesting client. Based on some of the predetermined parameters, such as availability,network bandwidth, payload capacity and current load, the load balancer uses various scheduling algorithms to choose which server should handle and forwards the request on to the selected server in the load balancing process.