The Generalized c/μ Rule for Queues with Heterogeneous Server Pools

IF 0.7 4区 管理学 Q3 Engineering Military Operations Research Pub Date : 2023-05-17 DOI:10.1287/opre.2023.2472
Zhenghua Long, Hailun Zhang, Jiheng Zhang, Z. Zhang
{"title":"The Generalized c/μ Rule for Queues with Heterogeneous Server Pools","authors":"Zhenghua Long, Hailun Zhang, Jiheng Zhang, Z. Zhang","doi":"10.1287/opre.2023.2472","DOIUrl":null,"url":null,"abstract":"Dynamic Routing of Queues with Heterogeneous Server Pools In “The Generalized c/μ Rule for Queues with Heterogeneous Server Pools,” Long, Zhang, Zhang, and Zhang study the optimal control of queueing systems with heterogeneous server pools and a single customer class. The goal is to balance the holding cost of the queue with the operating costs of the server pools. They introduce the target-allocation policy, the Gc/μ rule, and the fixed priority policy for systems with general, convex, and concave cost functions, respectively. They also consider an extension to minimize operating costs and maintain a service-level target for customers waiting in the queue. Moreover, they show that their asymptotically optimal routing policies coincide with several classic policies in the literature in special cases.","PeriodicalId":49809,"journal":{"name":"Military Operations Research","volume":"154 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Military Operations Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1287/opre.2023.2472","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

Dynamic Routing of Queues with Heterogeneous Server Pools In “The Generalized c/μ Rule for Queues with Heterogeneous Server Pools,” Long, Zhang, Zhang, and Zhang study the optimal control of queueing systems with heterogeneous server pools and a single customer class. The goal is to balance the holding cost of the queue with the operating costs of the server pools. They introduce the target-allocation policy, the Gc/μ rule, and the fixed priority policy for systems with general, convex, and concave cost functions, respectively. They also consider an extension to minimize operating costs and maintain a service-level target for customers waiting in the queue. Moreover, they show that their asymptotically optimal routing policies coincide with several classic policies in the literature in special cases.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
异构服务器池队列的广义c/μ规则
在“异构服务器池队列的广义c/μ规则”中,Long、Zhang、Zhang和Zhang研究了具有异构服务器池和单一客户类的队列系统的最优控制问题。目标是平衡队列的持有成本和服务器池的操作成本。他们分别针对一般、凸、凹代价函数引入了目标分配策略、Gc/μ规则和固定优先级策略。他们还会考虑延期,以最大限度地降低运营成本,并为排队等候的客户维持一个服务水平目标。此外,在特殊情况下,他们的渐近最优路由策略与文献中的几种经典策略一致。
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 去求助
来源期刊
Military Operations Research
Military Operations Research 管理科学-运筹学与管理科学
CiteScore
1.00
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Military Operations Research is a peer-reviewed journal of high academic quality. The Journal publishes articles that describe operations research (OR) methodologies and theories used in key military and national security applications. Of particular interest are papers that present: Case studies showing innovative OR applications Apply OR to major policy issues Introduce interesting new problems areas Highlight education issues Document the history of military and national security OR.
期刊最新文献
Optimal Routing Under Demand Surges: The Value of Future Arrival Rates Demand Estimation Under Uncertain Consideration Sets Optimal Routing to Parallel Servers in Heavy Traffic The When and How of Delegated Search A Data-Driven Approach to Beating SAA Out of Sample
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1