A multi-objective load balancing and power minimization in cloud using bio-inspired algorithms

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Kannan, K.S. and Sunitha, Gurram and Deepa, S.N. and Vijendra Babu, D. and Avanija, J. (2022) A multi-objective load balancing and power minimization in cloud using bio-inspired algorithms. Computers and Electrical Engineering, 102. p. 108225. ISSN 00457906

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Abstract

This study proposes a Micro-Genetic Algorithm combined with Cat Swarm Optimization (MG-CSO) for optimal process workload allocation in cloud computing environments. The approach dynamically consolidates resources, improving computing efficiency, reducing cost, time, energy usage, and enhancing Quality of Service (QoS). MG-CSO outperforms other algorithms such as GA and BA, achieving 91% efficiency in large-scale datacenters.

Item Type: Article
Subjects: Computer Science > General Computer Science
Engineering > Control and Systems Engineering
Engineering > Electrical and Electronic Engineering
Divisions: Medicine > Aarupadai Veedu Medical College and Hospital, Puducherry, India
Medicine > Aarupadai Veedu Medical College and Hospital, Puducherry, India > Biochemistry
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 02 Dec 2025 09:12
URI: https://ir.vmrfdu.edu.in/id/eprint/2745

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