{"title":"MX Fiber Optics Cable Data Network message traffic simulation","authors":"Elizabeth Y. S. Kung","doi":"10.5555/800042.801464","DOIUrl":null,"url":null,"abstract":"The proposed MX MPS Fiber Optics Cable Data Network would interconnect over 4600 facilities and cover and area of 12000 to 15000 mi2. One of the important factors in the design of such a large network is the traffic created by the various messages flowing through the network. This paper describes the simulation of the proposed network structure, the different kinds of messages flowing through it, and the message routing mechanism. The performance of the network for different scenarios is evaluated using the simulation. Some of the performance parameters examined are: potential bottlenecks, the propagation time for each kind of message, the queue statistics, and the results of down lines and nodes in the network. Although this particular MX basing concept is no longer being considered, the simulation techniques developed are directly applicable to analysis of other large communications networks.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1983-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Simulation Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/800042.801464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The proposed MX MPS Fiber Optics Cable Data Network would interconnect over 4600 facilities and cover and area of 12000 to 15000 mi2. One of the important factors in the design of such a large network is the traffic created by the various messages flowing through the network. This paper describes the simulation of the proposed network structure, the different kinds of messages flowing through it, and the message routing mechanism. The performance of the network for different scenarios is evaluated using the simulation. Some of the performance parameters examined are: potential bottlenecks, the propagation time for each kind of message, the queue statistics, and the results of down lines and nodes in the network. Although this particular MX basing concept is no longer being considered, the simulation techniques developed are directly applicable to analysis of other large communications networks.