基于蜂群算法的云平台负载均衡

Fan Xue, Zhijian Wu
{"title":"基于蜂群算法的云平台负载均衡","authors":"Fan Xue, Zhijian Wu","doi":"10.1504/IJRIS.2019.10019385","DOIUrl":null,"url":null,"abstract":"In order to shorten the time needed to execute tasks in cloud system and maximise the utilisation of available resources in the system, this article proposes the cloud platform load balancing design under the background of bee colony algorithm (ABC algorithm). First of all, puts forward the designed mathematical model and then gives the basic algorithm of load balancing based on bee colony algorithm. In addition, in the design of the process, three experiments are respectively carried out. The first set of experiments results show that the result is stochastic and stable and the system overhead will affect the system performance; the second set of experiments results show that there is the presence of outliers, algorithm can guarantee the system to complete the system task implementation within a limited time and the system consumption continuously rises; the third set of experiments results show that the algorithm has stability and independence and the algorithm has stable efficiency in the range that the virtual machine can withstand; if it exceeds the range, the results will be unstable. Overall, the ABC algorithm has an effective implementation effect.","PeriodicalId":360794,"journal":{"name":"Int. J. Reason. based Intell. Syst.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cloud platform load balancing based on bee colony algorithm\",\"authors\":\"Fan Xue, Zhijian Wu\",\"doi\":\"10.1504/IJRIS.2019.10019385\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to shorten the time needed to execute tasks in cloud system and maximise the utilisation of available resources in the system, this article proposes the cloud platform load balancing design under the background of bee colony algorithm (ABC algorithm). First of all, puts forward the designed mathematical model and then gives the basic algorithm of load balancing based on bee colony algorithm. In addition, in the design of the process, three experiments are respectively carried out. The first set of experiments results show that the result is stochastic and stable and the system overhead will affect the system performance; the second set of experiments results show that there is the presence of outliers, algorithm can guarantee the system to complete the system task implementation within a limited time and the system consumption continuously rises; the third set of experiments results show that the algorithm has stability and independence and the algorithm has stable efficiency in the range that the virtual machine can withstand; if it exceeds the range, the results will be unstable. Overall, the ABC algorithm has an effective implementation effect.\",\"PeriodicalId\":360794,\"journal\":{\"name\":\"Int. J. Reason. based Intell. Syst.\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Reason. based Intell. Syst.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJRIS.2019.10019385\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Reason. based Intell. Syst.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJRIS.2019.10019385","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

为了缩短云系统中执行任务所需的时间,最大限度地利用系统中可用资源,本文提出了蜂群算法(ABC算法)背景下的云平台负载均衡设计。首先提出了设计的数学模型,然后给出了基于蜂群算法的负载均衡的基本算法。此外,在工艺设计中,分别进行了三个实验。第一组实验结果表明,结果是随机的、稳定的,系统开销会影响系统性能;第二组实验结果表明,在存在异常值的情况下,算法能保证系统在限定时间内完成系统任务的实现,且系统消耗不断上升;第三组实验结果表明,该算法具有稳定性和独立性,算法在虚拟机可承受的范围内具有稳定的效率;如果超过这个范围,结果将不稳定。总体而言,ABC算法具有有效的实施效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud platform load balancing based on bee colony algorithm
In order to shorten the time needed to execute tasks in cloud system and maximise the utilisation of available resources in the system, this article proposes the cloud platform load balancing design under the background of bee colony algorithm (ABC algorithm). First of all, puts forward the designed mathematical model and then gives the basic algorithm of load balancing based on bee colony algorithm. In addition, in the design of the process, three experiments are respectively carried out. The first set of experiments results show that the result is stochastic and stable and the system overhead will affect the system performance; the second set of experiments results show that there is the presence of outliers, algorithm can guarantee the system to complete the system task implementation within a limited time and the system consumption continuously rises; the third set of experiments results show that the algorithm has stability and independence and the algorithm has stable efficiency in the range that the virtual machine can withstand; if it exceeds the range, the results will be unstable. Overall, the ABC algorithm has an effective implementation effect.
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
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:604180095
Book学术官方微信