{"title":"Predictable path establishment in multimedia communication networks","authors":"R. Simon","doi":"10.1109/MMCS.1999.779219","DOIUrl":null,"url":null,"abstract":"Deadline-driven packet scheduling policies provide highly flexible methods for real-time communication support of distributed multimedia applications. This paper presents a probabilistic approach for analyzing admission control and communication establishment for the general class of non-preemptive deadline-oriented packet scheduling policies. The prediction method can be used for communication and scheduling policy evaluation, routing for multimedia traffic and capacity planning. A large-scale simulation study demonstrates that our method provides highly accurate predictions of acceptance rates for multiple types of multimedia connection requests.","PeriodicalId":408680,"journal":{"name":"Proceedings IEEE International Conference on Multimedia Computing and Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMCS.1999.779219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Deadline-driven packet scheduling policies provide highly flexible methods for real-time communication support of distributed multimedia applications. This paper presents a probabilistic approach for analyzing admission control and communication establishment for the general class of non-preemptive deadline-oriented packet scheduling policies. The prediction method can be used for communication and scheduling policy evaluation, routing for multimedia traffic and capacity planning. A large-scale simulation study demonstrates that our method provides highly accurate predictions of acceptance rates for multiple types of multimedia connection requests.