Genetic Algorithm for Load Balancing in Cloud Computing

Abstract

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.