Department of Computer Science and Engineering, Amity University, Gurugram, Haryana, India.
Department of Mathematics, Amity Institute of Applied Sciences, Amity University, Noida, Uttar Pradesh, India.
Cloud-Computing offers high performance solution to solve complex engineering and scientific tasks by deploying resources at geo-diverse locations. With the large-scale demand of scientific and engineering jobs, huge number of cloud data centres needs to be constructed to fulfil the requirement of the jobs. The extensive use of cloud data centres leads to increases in cost as well as energy consumption. In this paper, an agent based Cost-Effective Energy Efficient scheduling algorithm, namely, CEEE has been proposed. To establish the effectiveness of the proposed algorithm, simulation is performed on CloudSim environment. The proposed algorithm is compared with state of art scheduling algorithms namely, Randam and MaxUtil. The experimental results demonstrates that CEEE algorithm is capable of refining energy efficiency with reduced cost. The proposed algorithm outperforms the prevailing algorithms in terms of energy consumption, resource utilization, number of hosts in sleep mode and completion time.
Keywords- Cloud computing; Job scheduling; Energy efficiency; Resource utilization; VM consolidation.
Vashisht, P., & Kumar, V. (2022). A Cost Effective and Energy Efficient Algorithm for Cloud Computing. International Journal of Mathematical, Engineering and Management Sciences, 7(5), 681-696. https://doi.org/10.33889/IJMEMS.2022.7.5.045.