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Tasks Scheduling in Cloud Environment Using PSO-BATS with MLRHE

Anwar R Shaheen*, Sundar Santhosh Kumar

Department of Computer Science, Alagappa University, Karaikudi, India

* Corresponding Author: Anwar R Shaheen. Email: email

Intelligent Automation & Soft Computing 2023, 35(3), 2963-2978. https://doi.org/10.32604/iasc.2023.025780

Abstract

Cloud computing plays a significant role in Information Technology (IT) industry to deliver scalable resources as a service. One of the most important factor to increase the performance of the cloud server is maximizing the resource utilization in task scheduling. The main advantage of this scheduling is to maximize the performance and minimize the time loss. Various researchers examined numerous scheduling methods to achieve Quality of Service (QoS) and to reduce execution time. However, it had disadvantages in terms of low throughput and high response time. Hence, this study aimed to schedule the task efficiently and to eliminate the faults in scheduling the tasks to the Virtual Machines (VMs). For this purpose, the research proposed novel Particle Swarm Optimization-Bandwidth Aware divisible Task (PSO-BATS) scheduling with Multi-Layered Regression Host Employment (MLRHE) to sort out the issues of task scheduling and ease the scheduling operation by load balancing. The proposed efficient scheduling provides benefits to both cloud users and servers. The performance evaluation is undertaken with respect to cost, Performance Improvement Rate (PIR) and makespan which revealed the efficiency of the proposed method. Additionally, comparative analysis is undertaken which confirmed the performance of the introduced system than conventional system for scheduling tasks with high flexibility.

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APA Style
Shaheen, A.R., Kumar, S.S. (2023). Tasks scheduling in cloud environment using PSO-BATS with MLRHE. Intelligent Automation & Soft Computing, 35(3), 2963-2978. https://doi.org/10.32604/iasc.2023.025780
Vancouver Style
Shaheen AR, Kumar SS. Tasks scheduling in cloud environment using PSO-BATS with MLRHE. Intell Automat Soft Comput . 2023;35(3):2963-2978 https://doi.org/10.32604/iasc.2023.025780
IEEE Style
A.R. Shaheen and S.S. Kumar, “Tasks Scheduling in Cloud Environment Using PSO-BATS with MLRHE,” Intell. Automat. Soft Comput. , vol. 35, no. 3, pp. 2963-2978, 2023. https://doi.org/10.32604/iasc.2023.025780



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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