Group-Server Queues
By analyzing energy-efficient management of data centers,this paper proposes and develops a class of interesting Group-Server Queues,and establishes two representative group-server queues through loss networks and impatient customers,respectively.Furthermore,such two group-server queues are given model descriptions and necessary interpretation.Also,simple mathematical discussion is provided,and simulations are made to study the expected queue lengths,the expected sojourn times and the expected virtual service times.In addition,this paper also shows that this class of group-server queues are often encountered in many other practical areas including communication networks,manufacturing systems,transportation networks,financial networks and healthcare systems.Note that the group-server queues are always used to design effectively dynamic control mechanisms through regrouping and recombining such many servers in a large-scale service system by means of,for example,bilateral threshold control,and customers transfer to the buffer or server groups.This leads to the large-scale service system that is divided into several adaptive and self-organizing subsystems through scheduling of batch customers and regrouping of service resources,which make the middle layer of this service system more effectively managed and strengthened under a dynamic,real-time and even reward optimal framework.Based on this,performance of such a large-scale service system may be improved greatly in terms of introducing and analyzing such group-server queues.Therefore,not only analysis of group-server queues is regarded as a new interesting research direction,but there also exist many theoretical challenges,basic difficulties and open problems in the area of queueing networks.
Group-server queue Data center Energy-efficient management Loss network Impatient customer
Quan-Lin Li Jing-Yu Ma Mingzhou Xie Li Xia
School of Economics and Management Sciences,Yanshan University,Qinhuangdao 066004,China Department of Automation and TNList,Center for Intelligent and Networked Systems,Tsinghua University
国际会议
河北秦皇岛
英文
49-72
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）