A LOAD BALANCE AND VIRTUAL MACHINES MIGRATION APPROACH USING QEMU-KVM FOR ENERGY EFFICIENT DATA CENTRE OF CLOUD COMPUTING

Dr. Rajesh Patel, Dr. Kirit Modi; Patel, Prof. Mehul

Abstract

Load balancing and virtual machine migration are particularly challenging jobs in a cloud data centre.
Some virtual computers in a data centre have more workload than they can handle, while others have less.
The workload must be balanced as a result, and efficient virtual machine migration promotes workload
balance while minimising server power consumption in the data centre. This ultimately leads to the
energy consumption of the data centre being lowered by turning off idle servers. In our study, virtual
machine migration and load balancing are performed using the hypervisor KVM. This optimal machine
movement and subsequent reduction in host server CPU use results in lower power consumption and
improved energy efficiency of data centres in cloud computing.