To Pool or Not to Pool: Queueing Design for Large-Scale Service Systems

被引:7
|
作者
Cao, Ping [1 ]
He, Shuangchi [2 ]
Huang, Junfei [3 ]
Liu, Yunan [4 ]
机构
[1] Univ Sci & Technol China, Sch Management, Hefei 230026, Peoples R China
[2] Natl Univ Singapore, Dept Ind Syst Engn & Management, Singapore 117576, Singapore
[3] Chinese Univ Hong Kong, CUHK Business Sch, Dept Decis Sci & Managerial Econ, Shatin, Hong Kong, Peoples R China
[4] North Carolina State Univ, Dept Ind & Syst Engn, Raleigh, NC 27695 USA
基金
中国国家自然科学基金;
关键词
dedicated queue; join-the-shortest-queue; power-of-d; join-idle-queues; customer abandonment; overloaded queue; many-server heavy-traffic limit; HEAVY-TRAFFIC LIMIT; MANY-SERVER QUEUES; CALL CENTERS; SHORTEST QUEUE; JOIN; CUSTOMERS; IMPACT; APPROXIMATIONS; ASYMPTOTICS; OPTIMALITY;
D O I
10.1287/opre.2019.1976
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
There are two basic queue structures commonly adopted in service systems: the pooled structure, where waiting customers are organized into a single queue served by a group of servers, and the dedicated structure, where each server has her own queue. Although the pooled structure, known to minimize the servers' idle time, is widely used in large-scale service systems, this study reveals that the dedicated structure, along with the join-the-shortest-queue routing policy, could be more advantageous for improving certain performance measures, such as the probability of a customer's waiting time being within a delay target. The servers' additional idleness resulting from the dedicated structure will be negligible when the system scale is large. Using a fluid model substantiated by asymptotic analysis, we provide a performance comparison between the two structures for a moderately overloaded queueing system with customer abandonment. We intend to help service system designers answer the following question: To reach a specified service-level target, which queue structure will be more cost effective? Aside from structure design, our results are of practical value for performance analysis and staffing deployment.
引用
收藏
页码:1866 / 1885
页数:21
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