{"title":"考虑小区损失率和端到端时延约束的容错ATM骨干网设计","authors":"Ki-Sang Song, Arun Kumar Somani","doi":"10.1109/PCCC.1994.504102","DOIUrl":null,"url":null,"abstract":"Unlike conventional packet switched networks, the ATM network is expected to perform connection-oriented operations for calls with variable traffic characteristics for each call. Fault tolerance in high speed ATM networks is greatly needed even for short-time link failures due to the large cell loss possibility. Here, we develop an ATM backbone network design algorithm by considering different Grades of Service (GOS) such as cell loss probabiliiy and mean end-to-end delay requirement for each call request. In addition, we ensure that these performance requirements are met even under faulty network conditions. Numerical examples show that our algorithm yields good solutions.","PeriodicalId":203232,"journal":{"name":"Proceeding of 13th IEEE Annual International Phoenix Conference on Computers and Communications","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Fault tolerant ATM backbone network design considering cell loss rates and end-to-end delay constraints\",\"authors\":\"Ki-Sang Song, Arun Kumar Somani\",\"doi\":\"10.1109/PCCC.1994.504102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Unlike conventional packet switched networks, the ATM network is expected to perform connection-oriented operations for calls with variable traffic characteristics for each call. Fault tolerance in high speed ATM networks is greatly needed even for short-time link failures due to the large cell loss possibility. Here, we develop an ATM backbone network design algorithm by considering different Grades of Service (GOS) such as cell loss probabiliiy and mean end-to-end delay requirement for each call request. In addition, we ensure that these performance requirements are met even under faulty network conditions. Numerical examples show that our algorithm yields good solutions.\",\"PeriodicalId\":203232,\"journal\":{\"name\":\"Proceeding of 13th IEEE Annual International Phoenix Conference on Computers and Communications\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceeding of 13th IEEE Annual International Phoenix Conference on Computers and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCCC.1994.504102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding of 13th IEEE Annual International Phoenix Conference on Computers and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCCC.1994.504102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault tolerant ATM backbone network design considering cell loss rates and end-to-end delay constraints
Unlike conventional packet switched networks, the ATM network is expected to perform connection-oriented operations for calls with variable traffic characteristics for each call. Fault tolerance in high speed ATM networks is greatly needed even for short-time link failures due to the large cell loss possibility. Here, we develop an ATM backbone network design algorithm by considering different Grades of Service (GOS) such as cell loss probabiliiy and mean end-to-end delay requirement for each call request. In addition, we ensure that these performance requirements are met even under faulty network conditions. Numerical examples show that our algorithm yields good solutions.