{"title":"Optimal control and scheduling in a multiclass queueing network: results and conjectures","authors":"P. Yang, H. Chen, D. Yao","doi":"10.1109/CDC.1990.203663","DOIUrl":null,"url":null,"abstract":"Dynamic scheduling and control in queuing networks are addressed. A two-station queuing network with two types of jobs is studied. Type 1 jobs visit stations, 1 and 2 in sequence, and type 2 jobs visit station 1 only. The problem is to control the (external) arrival processes and the service processes, as well as to schedule the server at station 1 among the two types of jobs. The objective is to minimize a discounted cost function over an infinite time horizon. The approach is based on stochastic intensity representation of point processes. The problem is divided into several cases, each corresponding to a certain parameter range. Optimal control and scheduling are derived for some cases. For the other cases, conjectures for the optimality of certain simple threshold policies are presented.<<ETX>>","PeriodicalId":287089,"journal":{"name":"29th IEEE Conference on Decision and Control","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"29th IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1990.203663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Dynamic scheduling and control in queuing networks are addressed. A two-station queuing network with two types of jobs is studied. Type 1 jobs visit stations, 1 and 2 in sequence, and type 2 jobs visit station 1 only. The problem is to control the (external) arrival processes and the service processes, as well as to schedule the server at station 1 among the two types of jobs. The objective is to minimize a discounted cost function over an infinite time horizon. The approach is based on stochastic intensity representation of point processes. The problem is divided into several cases, each corresponding to a certain parameter range. Optimal control and scheduling are derived for some cases. For the other cases, conjectures for the optimality of certain simple threshold policies are presented.<>