article

Resource Optimization in Cloud Data Centers Using Particle Swarm Optimization

Authors:

Madhumala R. B.,

Harshvardhan Tiwari,

Devaraj Verma C.Authors Info & Claims

International Journal of Cloud Applications and Computing (IJCAC), Volume 12, Issue 2

Pages 1 - 12

https://doi.org/10.4018/IJCAC.305856

Published: 26 July 2022 Publication History

Abstract

To meet the ever-growing demand for computational resources, it is mandatory to have the best resource allocation algorithm. In this paper, Particle Swarm Optimization (PSO) algorithm is used to address the resource optimization problem. Particle Swarm Optimization is suitable for continuous data optimization, to use in discrete data as in the case of Virtual Machine placement we need to fine-tune some of the parameters in Particle Swarm Optimization. The Virtual Machine placement problem is addressed by our proposed model called Improved Particle Swarm Optimization (IM-PSO), where the main aim is to maximize the utilization of resources in the cloud datacenter. The obtained results show that the proposed algorithm provides an optimized solution when compared to the existing algorithms.

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Cited By

Feng TCui Y(2024)Particle Swarm Algorithm for Smart Contract Vulnerability Detection Based on Semantic WebInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.34285020:1(1-33)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.4018/IJSWIS.342850

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Resource Optimization in Cloud Data Centers Using Particle Swarm Optimization

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cover image International Journal of Cloud Applications and Computing

International Journal of Cloud Applications and Computing Volume 12, Issue 2

Jul 2022

53 pages

ISSN:2156-1834

EISSN:2156-1826

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Copyright © 2022.

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IGI Global

United States

Publication History

Published: 26 July 2022

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Cited By

Feng TCui Y(2024)Particle Swarm Algorithm for Smart Contract Vulnerability Detection Based on Semantic WebInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.34285020:1(1-33)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.4018/IJSWIS.342850

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