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Abstract
Cloud computing is the most widely adapted computing model to process scientific workloads in remote servers accessed through the internet. In the IaaS cloud, the virtual machine (VM) is the execution unit that processes the user workloads. Virtualization enables the execution of multiple virtual machines (VMs) on a single physical machine (PM). Virtual machine placement (VMP) strategically assigns VMs to suitable physical devices within a data center. From the cloud provider's perspective, the virtual machine must be placed optimally to reduce resource wastage to aid economic revenue and develop green data centres. Cloud providers need an efficient methodology to minimize resource wastage, power consumption, and network transmission delay. This paper uses NSGA-III, a multi-objective evolutionary algorithm, to simultaneously reduce the mentioned objectives to obtain a non-dominated solution. The performance metrics (Overall Nondominated Vector Generation and Spacing) of the proposed NSGA-III algorithm is compared with other multi-objective algorithms, namely VEGA, MOGA, SPEA, and NSGA-II. It is observed that the proposed algorithm performs 7% better that the existing algorithm in terms of ONVG and 12% better results in terms of spacing. ANOVA and DMRT statistical tests are used to cross-validate the results.
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1 Dayananda Sagar University, Department of Computer Science and Engineering, Bangalore, India (GRID:grid.444707.4) (ISNI:0000 0001 0562 4048)
2 Vellore Institute of Technology, Chennai Campus, Centre for Smart Grid Technologies, School of Computer Science and Engineering, Chennai, India (GRID:grid.412813.d) (ISNI:0000 0001 0687 4946)
3 Vellore Institute of Technology, Chennai Campus, Centre for Automation, School of Computer Science and Engineering, Chennai, India (GRID:grid.412813.d) (ISNI:0000 0001 0687 4946)
4 Taif University, Department of Computer Engineering, College of Computer and Information Technology, Taif, Saudi Arabia (GRID:grid.412895.3) (ISNI:0000 0004 0419 5255)
5 Taif University, Department of Information Technology, College of Computers and Information Technology, Taif, Saudi Arabia (GRID:grid.412895.3) (ISNI:0000 0004 0419 5255)
6 Kalasalingam Academy of Research and Education, Department of Computer Science and Engineering, School of Computing, Krishnankoil, India (GRID:grid.444541.4) (ISNI:0000 0004 1764 948X)
7 Vishwakarma University, Department of Computer Engineering, Faculty of Science and Technology, Pune, India (GRID:grid.444541.4) (ISNI:0000 0005 0599 7193)