Eneegy efficiency optimization in cloud computing through virtual machine migration using the EEOM algorithm

as cloud-based business applications become more common, cloud computing has gotten much attention from the industrial and academic cycles. These applications address user needs while also initiating the problem of high data center energy consumption. This paper proposes a novel algorithm known as EEOM (Energy Efficiency Optimization of VM Migrations) to cope with this problem. Three key steps are optimized for the EEOM algorithm, including the start time, virtual machine (VM) selection, and host location, considering CPU and memory factors. The EEOM algorithm utilizes virtualization technology to transfer certain VMs from a lightly- or heavily-loaded host to other hosts. To save energy, idle hosts are switched to the low-power mode or turned off. The results demonstrate that the EEOM algorithm saves ۷% energy and lowers the SLA violation rate by ۱۳% when compared to the double-threshold (DT) algorithm.

Keywords:

Cloud Computing , Energy Consumption Management , Virtual Machine Migration , Virtual Machine Selection.