{"title":"On Autonomic QoS Provisioning for Voice over IP Services","authors":"T. Bohnert, E. Monteiro","doi":"10.1109/CCNC.2007.120","DOIUrl":null,"url":null,"abstract":"In this paper we present a framework for autonomic QoS provisioning for VoIP services. The central role is held by a Measurement Based Admission Control algorithm which incorporates three innovations. First, the mathematical underpin- ing obeys a non-parametric approach, removing the dependency on a priori assumed characteristics of the underlying stochastic process, i.e. those of the work arrival process. Thus, we tackle a major issue of common parametric MBAC. The second and the third enhancement is embodied in the combination of a closed-loop control based on perceived QoS. Typically, MBAC algorithms do not validate there decision and thats why many algorithms miss QoS targets due to non- stationaries in work arrival processes. As a metric for perfor- mance evaluation we devised a new approach based on the Emodel, an ITU-T standard for quantifying QoS assessment based on human perception. The contribution is the mathematical framework for both, the non-parametric MBAC and its closed-loop control but also an analysis based on simulations.","PeriodicalId":166361,"journal":{"name":"2007 4th IEEE Consumer Communications and Networking Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 4th IEEE Consumer Communications and Networking Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2007.120","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
In this paper we present a framework for autonomic QoS provisioning for VoIP services. The central role is held by a Measurement Based Admission Control algorithm which incorporates three innovations. First, the mathematical underpin- ing obeys a non-parametric approach, removing the dependency on a priori assumed characteristics of the underlying stochastic process, i.e. those of the work arrival process. Thus, we tackle a major issue of common parametric MBAC. The second and the third enhancement is embodied in the combination of a closed-loop control based on perceived QoS. Typically, MBAC algorithms do not validate there decision and thats why many algorithms miss QoS targets due to non- stationaries in work arrival processes. As a metric for perfor- mance evaluation we devised a new approach based on the Emodel, an ITU-T standard for quantifying QoS assessment based on human perception. The contribution is the mathematical framework for both, the non-parametric MBAC and its closed-loop control but also an analysis based on simulations.