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A Novel Meta-Heuristic Approach for Load Balancing in Cloud Computing

Authors:

Subhadarshini Mohanty,

Prashanta Kumar Patra,

Mitrabinda Ray,

Subasish MohapatraAuthors Info & Claims

International Journal of Knowledge-Based Organizations, Volume 8, Issue 1

Pages 29 - 49

https://doi.org/10.4018/IJKBO.2018010103

Published: 01 January 2018 Publication History

Abstract

Cloud computing is gaining more popularity due to its advantages over conventional computing. It offers utility based services to subscribers on demand basis. Cloud hosts a variety of web applications and provides services on the pay-per-use basis. As the users are increasing in the cloud system, the load balancing has become a critical issue in cloud computing. Scheduling workloads in the cloud environment among various nodes are essential to achieving a better quality of service. Hence it is a prominent area of research as well as challenging to allocate the resources with changeable capacities and functionality. In this paper, a metaheuristic load balancing algorithm using Particle Swarm Optimization MPSO has been proposed by utilizing the benefits of particle swarm optimization PSO algorithm. Proposed approach aims to minimize the task overhead and maximize the resource utilization. Performance comparisons are made with Genetic Algorithm GA and other popular algorithms on different measures like makespan calculation and resource utilization. Different cloud configurations are considered with varying Virtual Machines VMs and Cloudlets to analyze the efficiency of proposed algorithm. The proposed approach performs better than existing schemes.

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Cited By

Ahammad I(2023)Fog Computing Complete Review: Concepts, Trends, Architectures, Technologies, Simulators, Security Issues, Applications, and Open Research FieldsSN Computer Science10.1007/s42979-023-02235-94:6Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1007/s42979-023-02235-9

A Novel Meta-Heuristic Approach for Load Balancing in Cloud Computing
1. Computing methodologies
  1. Artificial intelligence
    1. Search methodologies
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures

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Published In

cover image International Journal of Knowledge-Based Organizations

International Journal of Knowledge-Based Organizations Volume 8, Issue 1

January 2018

96 pages

ISSN:2155-6393

EISSN:2155-6407

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IGI Global

United States

Publication History

Published: 01 January 2018

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Cited By

Ahammad I(2023)Fog Computing Complete Review: Concepts, Trends, Architectures, Technologies, Simulators, Security Issues, Applications, and Open Research FieldsSN Computer Science10.1007/s42979-023-02235-94:6Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1007/s42979-023-02235-9

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