Novel Load Balancing Optimization Algorithm to Improve Quality-of-Service in Cloud Environment

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Scheduling tasks using a cloud computing-based processing model
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Published: Mar 10, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i2.6110
Keywords:
load balancing, QoS, PSO, algorithm, cloud computing

Main Article Content

Rupesh Mahajan
Research Scholar, School of Computer Sciences and Engineering, Sandip university, Nashik, Maharashtra, India
Purushottam R. Patil
Associate Professor, School of Computer Sciences and Engineering, Sandip university, Nashik, Maharashtra, India
Amol Potgantwar
Professor, Sandip Institute of Technology and Research Centre, Nashik, Maharashtra, India
P. R. Bhaladhare
Professor & Head, School of Computer Sciences and Engineering, Sandip university, Nashik, Maharashtra, India

Abstract

Scheduling cloud resources calls for allocating cloud assets to cloud tasks. It is possible to improve scheduling outcomes by treating Quality of Service (QoS) factors as essential constraints. However, efficient scheduling calls for improved optimization of QoS parameters, and only a few resource scheduling algorithms in the available literature do so. The primary objective of this paper is to provide an effective method for deploying workloads to cloud infrastructure. To ensure that workloads are executed efficiently on available resources, a resource scheduling method based on particle swarm optimization was developed. The proposed method's performance has been measured in the cloud. The experimental results prove the efficiency of the proposed approach in reducing the aforementioned QoS parameters. Several metrics of algorithm performance are used to gauge how well the algorithm performs.

Article Details

How to Cite
Mahajan, R. ., Patil, P. R. ., Potgantwar, A. ., & Bhaladhare, P. R. . (2023). Novel Load Balancing Optimization Algorithm to Improve Quality-of-Service in Cloud Environment. International Journal on Recent and Innovation Trends in Computing and Communication, 11(2), 57–64. https://doi.org/10.17762/ijritcc.v11i2.6110
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Vol. 11 No. 2 (2023): February (2023) Issue
Section
Articles

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