MMRR负载均衡算法在云计算中的适用性

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS
Abiodun Kazeem Moses, J. B. Awotunde, R. Ogundokun, S. Misra, E. Adeniyi
{"title":"MMRR负载均衡算法在云计算中的适用性","authors":"Abiodun Kazeem Moses, J. B. Awotunde, R. Ogundokun, S. Misra, E. Adeniyi","doi":"10.1080/23799927.2020.1854864","DOIUrl":null,"url":null,"abstract":"One of cloud computing’s fundamental problems is the balancing of loads, which is essential for evenly distributing the workload across all nodes. This study proposes a new load balancing algorithm, which combines maximum-minimum and round-robin (MMRR) algorithm so that tasks with long execution time are allocated using maximum-minimum and tasks with lowest execution task will be assigned using round-robin. Cloud analyst tool was used to introduce the new load balancing techniques, and a comparative analysis with the existing algorithm was conducted to optimize cloud services to clients. The study findings indicate that ’MMRR has brought significant changes to cloud services. MMRR performed better from the algorithms tested based on the whole response time and cost-effectiveness (89%). The study suggested that MMRR should be implemented for enhancing user satisfaction in the cloud service.","PeriodicalId":37216,"journal":{"name":"International Journal of Computer Mathematics: Computer Systems Theory","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Applicability of MMRR load balancing algorithm in cloud computing\",\"authors\":\"Abiodun Kazeem Moses, J. B. Awotunde, R. Ogundokun, S. Misra, E. Adeniyi\",\"doi\":\"10.1080/23799927.2020.1854864\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of cloud computing’s fundamental problems is the balancing of loads, which is essential for evenly distributing the workload across all nodes. This study proposes a new load balancing algorithm, which combines maximum-minimum and round-robin (MMRR) algorithm so that tasks with long execution time are allocated using maximum-minimum and tasks with lowest execution task will be assigned using round-robin. Cloud analyst tool was used to introduce the new load balancing techniques, and a comparative analysis with the existing algorithm was conducted to optimize cloud services to clients. The study findings indicate that ’MMRR has brought significant changes to cloud services. MMRR performed better from the algorithms tested based on the whole response time and cost-effectiveness (89%). The study suggested that MMRR should be implemented for enhancing user satisfaction in the cloud service.\",\"PeriodicalId\":37216,\"journal\":{\"name\":\"International Journal of Computer Mathematics: Computer Systems Theory\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2020-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computer Mathematics: Computer Systems Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/23799927.2020.1854864\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Mathematics: Computer Systems Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23799927.2020.1854864","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 16

摘要

云计算的基本问题之一是负载平衡,这对于在所有节点上均匀分配工作负载至关重要。本文提出了一种新的负载均衡算法,将最大最小和轮询(MMRR)算法相结合,对执行时间长的任务采用最大最小分配,对执行时间最短的任务采用轮询分配。利用云分析工具引入新的负载均衡技术,并与现有算法进行对比分析,优化客户端云服务。研究结果表明,MMRR给云服务带来了重大变化。从基于整个响应时间和成本效益的算法测试来看,MMRR表现更好(89%)。本研究建议应实施MMRR,以提高云服务的用户满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applicability of MMRR load balancing algorithm in cloud computing
One of cloud computing’s fundamental problems is the balancing of loads, which is essential for evenly distributing the workload across all nodes. This study proposes a new load balancing algorithm, which combines maximum-minimum and round-robin (MMRR) algorithm so that tasks with long execution time are allocated using maximum-minimum and tasks with lowest execution task will be assigned using round-robin. Cloud analyst tool was used to introduce the new load balancing techniques, and a comparative analysis with the existing algorithm was conducted to optimize cloud services to clients. The study findings indicate that ’MMRR has brought significant changes to cloud services. MMRR performed better from the algorithms tested based on the whole response time and cost-effectiveness (89%). The study suggested that MMRR should be implemented for enhancing user satisfaction in the cloud service.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Computer Mathematics: Computer Systems Theory
International Journal of Computer Mathematics: Computer Systems Theory Computer Science-Computational Theory and Mathematics
CiteScore
1.80
自引率
0.00%
发文量
11
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信