Genetic Algorithm for Load Balancing in Cloud Computing

Cloud computing (CC) is a structural layout where virtual computers are involved and connected to the cloud service provider (CSP). The virtual computers establish a connection with CSP on the users’ behalf. VMs are overloaded by the uncertainty. The load may be caused by the CPU, memory, or network. In the preceding work, the genetic algorithm was used to migrate virtual machines (VMs). When a virtual machine is moved, the low-latency genetic algorithm shows a high-latency network. In this study, the evolutionary algorithm is used to migrate virtual machines. In this work, the suggested algorithm is utilized in MATLAB. The findings achieved are contrasted with those of an earlier algorithm.