Cloud computing — The effect of generalized spring tensor algorithm on load balancing

Shahrzad Aslazandeh, Z. Chaczko, C. Chiu
{"title":"Cloud computing — The effect of generalized spring tensor algorithm on load balancing","authors":"Shahrzad Aslazandeh, Z. Chaczko, C. Chiu","doi":"10.1109/APCASE.2014.6924463","DOIUrl":null,"url":null,"abstract":"In business world, competitors use innovative approaches to improve their performance and profits. Cloud computing is one of these creative concepts that allowed companies to further taking advantage of their potential. Cloud computing is assisting companies to execute their business plans more efficiently. As cloud computing has multi-tenancy structure, availability and efficiency of the resources is essential foundation of the cloud architecture. Recent studies showed that, optimized cloud computing could be seen as an elastic network of resources that are interacting with each other, to minimize the waiting time and utilize the throughput. Therefore load balancing and resource management can be highlighted as the main concerns in cloud computing as they are impacting the network performance directly. This research aims to discuss the current challenges existing in load balancing algorithms. Different metrics and policies of the relevant load balancer algorithms have been investigated and as a result, collective behavior has been proposed as a new policy for classification of elasticity mechanism in load balancing.","PeriodicalId":118511,"journal":{"name":"2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCASE.2014.6924463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

In business world, competitors use innovative approaches to improve their performance and profits. Cloud computing is one of these creative concepts that allowed companies to further taking advantage of their potential. Cloud computing is assisting companies to execute their business plans more efficiently. As cloud computing has multi-tenancy structure, availability and efficiency of the resources is essential foundation of the cloud architecture. Recent studies showed that, optimized cloud computing could be seen as an elastic network of resources that are interacting with each other, to minimize the waiting time and utilize the throughput. Therefore load balancing and resource management can be highlighted as the main concerns in cloud computing as they are impacting the network performance directly. This research aims to discuss the current challenges existing in load balancing algorithms. Different metrics and policies of the relevant load balancer algorithms have been investigated and as a result, collective behavior has been proposed as a new policy for classification of elasticity mechanism in load balancing.
云计算——广义弹簧张量算法对负载平衡的影响
在商业世界中,竞争对手使用创新的方法来提高他们的业绩和利润。云计算是这些创造性概念之一,它允许公司进一步利用其潜力。云计算正在帮助公司更有效地执行他们的商业计划。由于云计算具有多租户结构,资源的可用性和效率是云架构的重要基础。最近的研究表明,优化后的云计算可以被看作是一个相互交互的资源弹性网络,以最大限度地减少等待时间和利用吞吐量。因此,负载平衡和资源管理可以作为云计算中的主要关注点,因为它们直接影响网络性能。本研究旨在讨论当前负载均衡算法中存在的挑战。研究了相关负载均衡算法的不同度量和策略,提出了集体行为作为负载均衡弹性机制分类的新策略。
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
自引率
0.00%
发文量
0
×
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