{"title":"基于模糊逻辑的UPnP QoS架构下的多媒体流准入控制","authors":"M. Ditze, Matthias Grawinkel","doi":"10.1109/AINAW.2007.193","DOIUrl":null,"url":null,"abstract":"Admission Control (AC) avoids network congestion by determining whether a quantified request for resources can be approved without interfering the resource allocation of already accepted traffic flows. For time sensitive networked multimedia applications conventional AC schemes often prove to be unnecessarily strict. The crisp binary admission decision and worst case assumptions on traffic behavior may result in low utilization of resources. In this paper we propose a less stringent fuzzy logic based solution for AC. It decides an admission request according to a collective set of fuzzified Quality of Service (QoS) parameters that anticipate the expected resource utilization. Furthermore, it maps qualitative and quantitative QoS parameters into a single decision metrics. The AC has been incorporated into the service oriented UPnP QoS architecture.","PeriodicalId":338799,"journal":{"name":"21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Fuzzy Logic Based Admission Control for Multimedia Streams in the UPnP QoS Architecture\",\"authors\":\"M. Ditze, Matthias Grawinkel\",\"doi\":\"10.1109/AINAW.2007.193\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Admission Control (AC) avoids network congestion by determining whether a quantified request for resources can be approved without interfering the resource allocation of already accepted traffic flows. For time sensitive networked multimedia applications conventional AC schemes often prove to be unnecessarily strict. The crisp binary admission decision and worst case assumptions on traffic behavior may result in low utilization of resources. In this paper we propose a less stringent fuzzy logic based solution for AC. It decides an admission request according to a collective set of fuzzified Quality of Service (QoS) parameters that anticipate the expected resource utilization. Furthermore, it maps qualitative and quantitative QoS parameters into a single decision metrics. The AC has been incorporated into the service oriented UPnP QoS architecture.\",\"PeriodicalId\":338799,\"journal\":{\"name\":\"21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AINAW.2007.193\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AINAW.2007.193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Logic Based Admission Control for Multimedia Streams in the UPnP QoS Architecture
Admission Control (AC) avoids network congestion by determining whether a quantified request for resources can be approved without interfering the resource allocation of already accepted traffic flows. For time sensitive networked multimedia applications conventional AC schemes often prove to be unnecessarily strict. The crisp binary admission decision and worst case assumptions on traffic behavior may result in low utilization of resources. In this paper we propose a less stringent fuzzy logic based solution for AC. It decides an admission request according to a collective set of fuzzified Quality of Service (QoS) parameters that anticipate the expected resource utilization. Furthermore, it maps qualitative and quantitative QoS parameters into a single decision metrics. The AC has been incorporated into the service oriented UPnP QoS architecture.