Enhanced Round-Robin Algorithm in the Cloud Computing Environment for Optimal Task Scheduling

Author:

Alhaidari Fahd,Balharith Taghreed Zayed

Abstract

Recently, there has been significant growth in the popularity of cloud computing systems. One of the main issues in building cloud computing systems is task scheduling. It plays a critical role in achieving high-level performance and outstanding throughput by having the greatest benefit from the resources. Therefore, enhancing task scheduling algorithms will enhance the QoS, thus leading to more sustainability of cloud computing systems. This paper introduces a novel technique called the dynamic round-robin heuristic algorithm (DRRHA) by utilizing the round-robin algorithm and tuning its time quantum in a dynamic manner based on the mean of the time quantum. Moreover, we applied the remaining burst time of the task as a factor to decide the continuity of executing the task during the current round. The experimental results obtained using the CloudSim Plus tool showed that the DRRHA significantly outperformed the competition in terms of the average waiting time, turnaround time, and response time compared with several studied algorithms, including IRRVQ, dynamic time slice round-robin, improved RR, and SRDQ algorithms.

Publisher

MDPI AG

Subject

Computer Networks and Communications,Human-Computer Interaction

Reference41 articles.

1. Evaluation of self-organizing and self-managing heterogeneous high performance computing clouds through discrete-time simulation;Giannoutakis;Concurr. Comput. Pract. Exp.,2021

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An enhanced round robin using dynamic time quantum for real-time asymmetric burst length processes in cloud computing environment;PLOS ONE;2024-08-15

2. Leveraging CNN-CPU Scheduling for Enhanced Resource Management in Storage Edge Network Frameworks;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

3. Proposal Intelligent Hand Gesture Recognition Using CNN;2024 2nd International Conference on Cyber Resilience (ICCR);2024-02-26

4. FSRmSTS—An Optimize Task Scheduling with a Hybrid Approach: Integrating FCFS, SJF, and RR with Median Standard Time Slice;Studies in Big Data;2024

5. A Novel Heuristic Technique for Task Scheduling in Public Clouds;2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech);2023-12-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3