Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers. (October 2022) - Arshad, Umer
Abstract: Cloud Computing services can be accessed anytime, anywhere via the Internet. The overwhelming growth of cloud data centers over the past decade has increased their costs as energy demands have risen. As a result, higher carbon dioxide emissions and other greenhouse gasses are putting a strain on our ecosystem. The main objective of this study is to reduce the power consumption in cloud computing with no or negligible trade-offs in quality of service. This paper presents a new algorithm called the energy efficiency heuristic using virtual machine consolidation to minimize the high energy consumption in the cloud. By setting two thresholds, hosts are classified into three main classes. The designed model reallocates virtual machines from one physical host to another to minimize energy consumption. The results of the proposed algorithm have been obtained in terms of virtual machine migrations, performance degradation caused by migration, service level agreement violations, and execution time, showing a significant improvement over state-of-the-art techniques. Highlights: A novel scheduling mechanism EEHVMC to reduce energy consumption is designed. The designed EEHVMC can also reduce VR migration, and service level agreement violations. The designed model is based on the real-time cloud computing.