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An Optimal Way of VM Placement Strategy in Cloud Computing Platform Using ABCS Algorithm

An Optimal Way of VM Placement Strategy in Cloud Computing Platform Using ABCS Algorithm

Pushpa R., M. Siddappa
Copyright: © 2021 |Volume: 12 |Issue: 3 |Pages: 23
ISSN: 1941-6237|EISSN: 1941-6245|EISBN13: 9781799860280|DOI: 10.4018/IJACI.2021070102
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MLA

Pushpa R., and M. Siddappa. "An Optimal Way of VM Placement Strategy in Cloud Computing Platform Using ABCS Algorithm." IJACI vol.12, no.3 2021: pp.16-38. http://doi.org/10.4018/IJACI.2021070102

APA

Pushpa R. & Siddappa, M. (2021). An Optimal Way of VM Placement Strategy in Cloud Computing Platform Using ABCS Algorithm. International Journal of Ambient Computing and Intelligence (IJACI), 12(3), 16-38. http://doi.org/10.4018/IJACI.2021070102

Chicago

Pushpa R., and M. Siddappa. "An Optimal Way of VM Placement Strategy in Cloud Computing Platform Using ABCS Algorithm," International Journal of Ambient Computing and Intelligence (IJACI) 12, no.3: 16-38. http://doi.org/10.4018/IJACI.2021070102

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Abstract

In this paper, VM replacement strategy is developed using the optimization algorithm, namely artificial bee chicken swarm optimization (ABCSO), in cloud computing model. The ABCSO algorithm is the integration of the artificial bee colony (ABC) in chicken swarm optimization (CSO). This method employed VM placement based on the requirement of the VM for the completion of the particular task using the service provider. Initially, the cloud system is designed, and the proposed ABCSO-based VM placement approach is employed for handling the factors, such as load, CPU usage, memory, and power by moving the virtual machines optimally. The best VM migration strategy is determined using the fitness function by considering the factors, like migration cost, load, and power consumption. The proposed ABCSO method achieved a minimal load of 0.1688, minimal power consumption of 0.0419, and minimal migration cost of 0.0567, respectively.

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