{"title":"A new algorithm for real-time QoS estimation in multimedia communication systems","authors":"Zhang Ying, Tao Ran, Z. Siyong, Wang Yue","doi":"10.1109/ICOSP.1998.770822","DOIUrl":null,"url":null,"abstract":"Multimedia technologies have brought a revolution in information science. As the main technology for the broadband integrated services network, asynchronous transfer mode (ATM) provides efficient switching capability for multimedia communication services as well as service quality guarantees. Quality of service (QoS) estimation is one of the key issues in traffic engineering. A new approach to cell loss ratio (CLR) prediction and estimation is presented in this paper, which is based on simple source traffic models constructed with standard parameters defined by the ITU and ATM Forum. This method can estimate the burst level CLR more efficiently than typical analytical approaches while maintaining accurate enough results to be used in real-time applications. Description of the algorithm, some numerical results and comparison with simulations are also included to show its simplicity and efficiency.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.1998.770822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Multimedia technologies have brought a revolution in information science. As the main technology for the broadband integrated services network, asynchronous transfer mode (ATM) provides efficient switching capability for multimedia communication services as well as service quality guarantees. Quality of service (QoS) estimation is one of the key issues in traffic engineering. A new approach to cell loss ratio (CLR) prediction and estimation is presented in this paper, which is based on simple source traffic models constructed with standard parameters defined by the ITU and ATM Forum. This method can estimate the burst level CLR more efficiently than typical analytical approaches while maintaining accurate enough results to be used in real-time applications. Description of the algorithm, some numerical results and comparison with simulations are also included to show its simplicity and efficiency.