{"title":"A distributed routing algorithm for virtual circuit date networks","authors":"F. Lin, J. Yee","doi":"10.1109/INFCOM.1989.101453","DOIUrl":null,"url":null,"abstract":"In virtual circuit networks, all of the packets in a session are transmitted over exactly one path established between the origin and the destination. The problem of choosing a path for each origin-destination pair so as to minimize the average number of packets in the network is considered here. The usual formulation of this problem as a nonlinear multicommodity flow problem with integer decision variables is considered. A distributed algorithm is developed to solve the optimization problem, using Lagrangean relaxation as the basic approach. A multiplier update technique is developed which facilitates the solution of the nonlinear integer programming problem using distributed computation.<<ETX>>","PeriodicalId":275763,"journal":{"name":"IEEE INFOCOM '89, Proceedings of the Eighth Annual Joint Conference of the IEEE Computer and Communications Societies","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE INFOCOM '89, Proceedings of the Eighth Annual Joint Conference of the IEEE Computer and Communications Societies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOM.1989.101453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
In virtual circuit networks, all of the packets in a session are transmitted over exactly one path established between the origin and the destination. The problem of choosing a path for each origin-destination pair so as to minimize the average number of packets in the network is considered here. The usual formulation of this problem as a nonlinear multicommodity flow problem with integer decision variables is considered. A distributed algorithm is developed to solve the optimization problem, using Lagrangean relaxation as the basic approach. A multiplier update technique is developed which facilitates the solution of the nonlinear integer programming problem using distributed computation.<>