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FPSO-GA: A Fuzzy Metaheuristic Load Balancing Algorithm to Reduce Energy Consumption in Cloud Networks

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A Correction to this article was published on 23 February 2023

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Abstract

Load balancing in the cloud is a strategy that assures that the overall performance of large-scale computing systems can be improved by ensuring a uniform allocation of local workloads among computing system components. Many studies and algorithms in cloud computing load balancing, task scheduling, and workflow scheduling have been proposed so far. However, because of the enormous number of competing criteria and the different nature of dynamic Task allocation to heterogeneous resources that deal with scheduling, it is nearly difficult to identify an optimal solution for every scheduling problem at any given time. One of the scheduling ways is to apply meta-heuristic techniques, which attempt to discover a near-optimal solution in a predictable amount of time while demonstrating exceptional performance on the goal task. We develop a hybrid Fuzzy Particle Swarm Optimization Genetic Algorithm (FPSO-GA) method that combines a fuzzy particle swarm optimization method and a genetic algorithm in this study.

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Change history

  • 25 February 2023

    The original version of this article was revised: In this article the affiliation details for Seyedeh Maedeh Mirmohseni and Chunming Tang were incorrectly given as 'ADiT-Lab, Electrotechnics and Telecommunications Department, Instituto Politécnico de Viana do Castelo, Porto 4900-347, Portugal' but should have been 'School of Mathematics and Computer Science, Guangzhou University, 510006 Guangzhou, China

  • 23 February 2023

    A Correction to this paper has been published: https://doi.org/10.1007/s11277-023-10205-w

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Authors and Affiliations

  1. School of Mathematics and Computer Science, Guangzhou University, 510006 , Guangzhou, China

    Seyedeh Maedeh Mirmohseni & Chunming Tang

  2. ADiT-Lab, Electrotechnics and Telecommunications Department, Instituto Politécnico de Viana do Castelo, Porto, 4900-347, Portugal

    Amir Javadpour

  3. Department of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China

    Amir Javadpour

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  1. Seyedeh Maedeh Mirmohseni
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Mirmohseni, S.M., Tang, C. & Javadpour, A. FPSO-GA: A Fuzzy Metaheuristic Load Balancing Algorithm to Reduce Energy Consumption in Cloud Networks. Wireless Pers Commun 127, 2799–2821 (2022). https://doi.org/10.1007/s11277-022-09897-3

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