Abstract
The most critical issue in cloud computing consists of a tremendous increase in power consumption because of increased cloud users. Many techniques have been proposed to reduce power consumption while meeting service level agreement between service providers and users. Most existing approaches are able to conserve power to some extent but at the cost of performance degradation or increased number of service level agreement violations. In this work, we propose power saving Virtual Machine selection and virtual machine placement methods for or effective Virtual Machine consolidation process. The proposed methods have been designed based on the current CPU utilisation of the physical machine. These methods have been validated using cloud Sim software. The experimental results demonstrate the proposed Virtual Machine selection and placement methods as effective methods in reducing power consumption, number of virtual machine migrations, and number of service level agreement violations compared to the existing methods, random straight, the maximum utilisation, maximum correlation method and minimum migration time method for provisioning computing resources in cloud computing.