Enhancement of Virtual Machine Migration using Artificial Bee Colony Algorithm

The use of large-scale computer devices is expanding more quickly, which has led to a significant rise in energy consumption and carbon emissions. Controlling these adverse consequences is necessary to make the computer platform environmentally friendly. Scheduling is one such element that has to be addressed in order to improve the cloud architecture. In light of the Scheduling process, load balancing is a crucial component that requires optimization. In addition to maximizing throughput and reaction time and facilitating efficient resource usage, load balancing also guards against overloading. The virtual machines are moved among many hosts to improve CPU resources and load balancing. The virtual machines that are moved will be determined by taking into account the CPU usage under three different conditions: when the CPU utilization reaches 90%, 10%, and 0%, depending on the performance of different machines. Taking this into consideration, this study suggests a general method to start the virtual machine migration, which might enhance the load balancing procedure overall.