A Comparative Study of the Performance of Load Balancing Algorithms Using Cloud Analyst

Q2 Social Sciences
A. Y. Ahmad, Asma’a Y. Hammo
{"title":"A Comparative Study of the Performance of Load Balancing Algorithms Using Cloud Analyst","authors":"A. Y. Ahmad, Asma’a Y. Hammo","doi":"10.14704/web/v19i1/web19328","DOIUrl":null,"url":null,"abstract":"Cloud computing technology has grown and expanded widely in recent years. Cloud computing is a distributed system that may be on physical or virtual machines. Because of the ease of working in the cloud, its ease of use, it's being an interactive model and a highly profitable business model, many users have used it. This led to an increase in the load on it, and thus the overload has become a problem that must be solved. Many algorithms have been proposed to balance the load on cloud. The essential are three: Round robin, Equally Spread Current Execution (ESCE), and Throttled. This research investigates the performance of those algorithms with increasing of number of users. Previous researches did not take into account the increasing of users. CloudAnalyst simulation tool is used for this comparison. The comparison is done according to DC (Data Centre) processing time, overall total response time (ORT), processing cost, and hourly data center. It was found that initially with a certain settings and for a certain number of users, there may be no difference that can be mentioned in performance between the three algorithms. Then the improvement in performance increases with the increasing number of users. Throttled algorithm showed best performance in the average of ORT with increasing number of users.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Webology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14704/web/v19i1/web19328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 1

Abstract

Cloud computing technology has grown and expanded widely in recent years. Cloud computing is a distributed system that may be on physical or virtual machines. Because of the ease of working in the cloud, its ease of use, it's being an interactive model and a highly profitable business model, many users have used it. This led to an increase in the load on it, and thus the overload has become a problem that must be solved. Many algorithms have been proposed to balance the load on cloud. The essential are three: Round robin, Equally Spread Current Execution (ESCE), and Throttled. This research investigates the performance of those algorithms with increasing of number of users. Previous researches did not take into account the increasing of users. CloudAnalyst simulation tool is used for this comparison. The comparison is done according to DC (Data Centre) processing time, overall total response time (ORT), processing cost, and hourly data center. It was found that initially with a certain settings and for a certain number of users, there may be no difference that can be mentioned in performance between the three algorithms. Then the improvement in performance increases with the increasing number of users. Throttled algorithm showed best performance in the average of ORT with increasing number of users.
基于Cloud Analyst的负载平衡算法性能比较研究
近年来,云计算技术得到了广泛的发展和扩展。云计算是一个分布式系统,可以位于物理机或虚拟机上。由于云计算的易用性和易用性,它是一种互动模式和高利润的商业模式,许多用户都使用了它。这导致了它的负载增加,因此过载已经成为一个必须解决的问题。已经提出了许多算法来平衡云上的负载。基本的有三种:循环、均衡电流执行(ESCE)和Throttled。本研究调查了随着用户数量的增加,这些算法的性能。以前的研究没有考虑到用户的增加。CloudAnalyst模拟工具用于此比较。比较是根据DC(数据中心)处理时间、总响应时间(ORT)、处理成本和每小时数据中心进行的。研究发现,最初在一定的设置和一定数量的用户的情况下,三种算法之间的性能可能没有什么不同。然后,性能的提高会随着用户数量的增加而增加。随着用户数量的增加,Throttled算法在ORT的平均值上表现出最好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Webology
Webology Social Sciences-Library and Information Sciences
自引率
0.00%
发文量
374
审稿时长
10 weeks
期刊介绍: Webology is an international peer-reviewed journal in English devoted to the field of the World Wide Web and serves as a forum for discussion and experimentation. It serves as a forum for new research in information dissemination and communication processes in general, and in the context of the World Wide Web in particular. Concerns include the production, gathering, recording, processing, storing, representing, sharing, transmitting, retrieving, distribution, and dissemination of information, as well as its social and cultural impacts. There is a strong emphasis on the Web and new information technologies. Special topic issues are also often seen.
×
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