{"title":"无缓冲流体流动模型中的非均匀开关源","authors":"Guoqiang Mao, D. Habibi","doi":"10.1109/ICON.2000.875806","DOIUrl":null,"url":null,"abstract":"There are several methods to analyze the cell loss in a network: queuing analysis, large deviation approximation and bufferless fluid flow approximation. Bufferless fluid flow approximation is frequently used in the literature for its simplicity. However there is no effective means to investigate the cell loss in the bufferless fluid flow model. In this paper we define the cell loss rate function (CLRF) and suggest it for studying the cell loss of traffic sources in the bufferless fluid flow model. Properties of the CLRF are discussed. These properties enable us to decompose the complex analysis of the aggregation of several traffic sources into the simpler analysis of the individual sources. An important theorem about heterogeneous on-of sources is proved using the CLRF. The applications of the CLRF and the theorem in cell loss analysis and connection admission control are presented. A real-time CAC scheme using on-line measurements is designed. This CAC scheme needs only simple information about traffic sources. Simulation studies are presented which are indicative of good performance of the CAC scheme.","PeriodicalId":191244,"journal":{"name":"Proceedings IEEE International Conference on Networks 2000 (ICON 2000). Networking Trends and Challenges in the New Millennium","volume":"195 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Heterogeneous on-off sources in the bufferless fluid flow model\",\"authors\":\"Guoqiang Mao, D. Habibi\",\"doi\":\"10.1109/ICON.2000.875806\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are several methods to analyze the cell loss in a network: queuing analysis, large deviation approximation and bufferless fluid flow approximation. Bufferless fluid flow approximation is frequently used in the literature for its simplicity. However there is no effective means to investigate the cell loss in the bufferless fluid flow model. In this paper we define the cell loss rate function (CLRF) and suggest it for studying the cell loss of traffic sources in the bufferless fluid flow model. Properties of the CLRF are discussed. These properties enable us to decompose the complex analysis of the aggregation of several traffic sources into the simpler analysis of the individual sources. An important theorem about heterogeneous on-of sources is proved using the CLRF. The applications of the CLRF and the theorem in cell loss analysis and connection admission control are presented. A real-time CAC scheme using on-line measurements is designed. This CAC scheme needs only simple information about traffic sources. Simulation studies are presented which are indicative of good performance of the CAC scheme.\",\"PeriodicalId\":191244,\"journal\":{\"name\":\"Proceedings IEEE International Conference on Networks 2000 (ICON 2000). Networking Trends and Challenges in the New Millennium\",\"volume\":\"195 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE International Conference on Networks 2000 (ICON 2000). Networking Trends and Challenges in the New Millennium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICON.2000.875806\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE International Conference on Networks 2000 (ICON 2000). Networking Trends and Challenges in the New Millennium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICON.2000.875806","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Heterogeneous on-off sources in the bufferless fluid flow model
There are several methods to analyze the cell loss in a network: queuing analysis, large deviation approximation and bufferless fluid flow approximation. Bufferless fluid flow approximation is frequently used in the literature for its simplicity. However there is no effective means to investigate the cell loss in the bufferless fluid flow model. In this paper we define the cell loss rate function (CLRF) and suggest it for studying the cell loss of traffic sources in the bufferless fluid flow model. Properties of the CLRF are discussed. These properties enable us to decompose the complex analysis of the aggregation of several traffic sources into the simpler analysis of the individual sources. An important theorem about heterogeneous on-of sources is proved using the CLRF. The applications of the CLRF and the theorem in cell loss analysis and connection admission control are presented. A real-time CAC scheme using on-line measurements is designed. This CAC scheme needs only simple information about traffic sources. Simulation studies are presented which are indicative of good performance of the CAC scheme.