一种提高云计算服务质量的混合多并行排队模型

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS
Shahbaz Afzal, G. Kavitha
{"title":"一种提高云计算服务质量的混合多并行排队模型","authors":"Shahbaz Afzal, G. Kavitha","doi":"10.4018/ijghpc.2020010102","DOIUrl":null,"url":null,"abstract":"AmongthedifferentQoSmetricsandparametersconsideredincloudcomputingarethewaitingtime ofcloudtasks,executiontimeoftasksinVM’s,andtheutilizationrateofservers.Theproposed modelwasdeveloped toovercomesomeof thepitfalls in theexistingsystemsamongwhichare sub-optimalmarkdowninthequeuelength,waitingtime,responsetime,andserverutilizationrate. TheproposedmodelcontemplatesontheenhancementofthesemetricsusingaHybridMultiple ParallelQueuingapproachwithajointimplementationofM/M/1:∞andM/M/s:N/FCFStoachieve thedesiredobjectives.Aneotericsetofmathematicalequationshavebeenformulatedtovalidate theefficiencyandperformanceofthehybridqueuingmodel.Theresultshavebeenvalidatedwith referencetotheworkloadtracesofBitBrainsinfrastructureprovider.Theresultsobtainedindicate thesignificantreductioninthequeuelengthby60.93percent,waitingtimeinthequeueby73.85 percent,andtotalresponsetimeby97.51%. KEywoRdS Cloud Computing, CSC, CSP, Hybrid Multiple Parallel Queuing Model, Internet-as-aService, QoS, QoS Metrics, Queuing Theory","PeriodicalId":43565,"journal":{"name":"International Journal of Grid and High Performance Computing","volume":"1 1","pages":"18-34"},"PeriodicalIF":0.6000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A Hybrid Multiple Parallel Queuing Model to Enhance QoS in Cloud Computing\",\"authors\":\"Shahbaz Afzal, G. Kavitha\",\"doi\":\"10.4018/ijghpc.2020010102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AmongthedifferentQoSmetricsandparametersconsideredincloudcomputingarethewaitingtime ofcloudtasks,executiontimeoftasksinVM’s,andtheutilizationrateofservers.Theproposed modelwasdeveloped toovercomesomeof thepitfalls in theexistingsystemsamongwhichare sub-optimalmarkdowninthequeuelength,waitingtime,responsetime,andserverutilizationrate. TheproposedmodelcontemplatesontheenhancementofthesemetricsusingaHybridMultiple ParallelQueuingapproachwithajointimplementationofM/M/1:∞andM/M/s:N/FCFStoachieve thedesiredobjectives.Aneotericsetofmathematicalequationshavebeenformulatedtovalidate theefficiencyandperformanceofthehybridqueuingmodel.Theresultshavebeenvalidatedwith referencetotheworkloadtracesofBitBrainsinfrastructureprovider.Theresultsobtainedindicate thesignificantreductioninthequeuelengthby60.93percent,waitingtimeinthequeueby73.85 percent,andtotalresponsetimeby97.51%. KEywoRdS Cloud Computing, CSC, CSP, Hybrid Multiple Parallel Queuing Model, Internet-as-aService, QoS, QoS Metrics, Queuing Theory\",\"PeriodicalId\":43565,\"journal\":{\"name\":\"International Journal of Grid and High Performance Computing\",\"volume\":\"1 1\",\"pages\":\"18-34\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Grid and High Performance Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijghpc.2020010102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Grid and High Performance Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijghpc.2020010102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 9

摘要

AmongthedifferentQoSmetricsandparametersconsideredincloudcomputingarethewaitingtime ofcloudtasks,executiontimeoftasksinVM 's,andtheutilizationrateofservers。Theproposed modelwasdeveloped toovercomesomeof thepitfalls in_ theexistingsystemsamongwhichare sub-optimalmarkdowninthequeuelength,waitingtime,responsetime,andserverutilizationrate。> TheproposedmodelcontemplatesontheenhancementofthesemetricsusingaHybridMultiple ParallelQueuingapproachwithajointimplementationofM/M/1: >∞andM/M/s:N/FCFStoachieve thedesiredobjectives。Aneotericsetofmathematicalequationshavebeenformulatedtovalidate theefficiencyandperformanceofthehybridqueuingmodel。Theresultshavebeenvalidatedwith referencetotheworkloadtracesofBitBrainsinfrastructureprovider。Theresultsobtainedindicate thesignificantreductioninthequeuelengthby60.93percent,waitingtimeinthequeueby73.85 %,andtotalresponsetimeby97.51%。关键词云计算,CSC, CSP,混合多并行排队模型,互联网即服务,QoS, QoS度量,排队论
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hybrid Multiple Parallel Queuing Model to Enhance QoS in Cloud Computing
AmongthedifferentQoSmetricsandparametersconsideredincloudcomputingarethewaitingtime ofcloudtasks,executiontimeoftasksinVM’s,andtheutilizationrateofservers.Theproposed modelwasdeveloped toovercomesomeof thepitfalls in theexistingsystemsamongwhichare sub-optimalmarkdowninthequeuelength,waitingtime,responsetime,andserverutilizationrate. TheproposedmodelcontemplatesontheenhancementofthesemetricsusingaHybridMultiple ParallelQueuingapproachwithajointimplementationofM/M/1:∞andM/M/s:N/FCFStoachieve thedesiredobjectives.Aneotericsetofmathematicalequationshavebeenformulatedtovalidate theefficiencyandperformanceofthehybridqueuingmodel.Theresultshavebeenvalidatedwith referencetotheworkloadtracesofBitBrainsinfrastructureprovider.Theresultsobtainedindicate thesignificantreductioninthequeuelengthby60.93percent,waitingtimeinthequeueby73.85 percent,andtotalresponsetimeby97.51%. KEywoRdS Cloud Computing, CSC, CSP, Hybrid Multiple Parallel Queuing Model, Internet-as-aService, QoS, QoS Metrics, Queuing Theory
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
CiteScore
1.70
自引率
10.00%
发文量
24
×
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