{"title":"具有QoS功能的集群互连中截止日期缺失概率的计算","authors":"Eun Jung Kim, K. H. Yum, C. Das","doi":"10.1109/NCA.2001.962514","DOIUrl":null,"url":null,"abstract":"The growing use of clusters in diverse applications, many of which have real-time constraints, requires Quality-of-Service (QoS) support from the underlying cluster interconnect. In this paper we propose an analytical model that captures the characteristics of a QoS capable wormhole router which is the basic building block of cluster networks. The model captures the behavior of integrated traffic in a cluster and computes the average deadline missing probability for real-time traffic. The cluster interconnect, considered here, is a hypercube network. Comparison of Deadline Missing Probability (DMP) using the proposed model with that of the simulation shows that our analytical model is accurate and useful.","PeriodicalId":385607,"journal":{"name":"Proceedings IEEE International Symposium on Network Computing and Applications. NCA 2001","volume":"234 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Calculation of deadline missing probability in a QoS capable cluster interconnect\",\"authors\":\"Eun Jung Kim, K. H. Yum, C. Das\",\"doi\":\"10.1109/NCA.2001.962514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The growing use of clusters in diverse applications, many of which have real-time constraints, requires Quality-of-Service (QoS) support from the underlying cluster interconnect. In this paper we propose an analytical model that captures the characteristics of a QoS capable wormhole router which is the basic building block of cluster networks. The model captures the behavior of integrated traffic in a cluster and computes the average deadline missing probability for real-time traffic. The cluster interconnect, considered here, is a hypercube network. Comparison of Deadline Missing Probability (DMP) using the proposed model with that of the simulation shows that our analytical model is accurate and useful.\",\"PeriodicalId\":385607,\"journal\":{\"name\":\"Proceedings IEEE International Symposium on Network Computing and Applications. NCA 2001\",\"volume\":\"234 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE International Symposium on Network Computing and Applications. NCA 2001\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NCA.2001.962514\",\"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 Symposium on Network Computing and Applications. NCA 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCA.2001.962514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Calculation of deadline missing probability in a QoS capable cluster interconnect
The growing use of clusters in diverse applications, many of which have real-time constraints, requires Quality-of-Service (QoS) support from the underlying cluster interconnect. In this paper we propose an analytical model that captures the characteristics of a QoS capable wormhole router which is the basic building block of cluster networks. The model captures the behavior of integrated traffic in a cluster and computes the average deadline missing probability for real-time traffic. The cluster interconnect, considered here, is a hypercube network. Comparison of Deadline Missing Probability (DMP) using the proposed model with that of the simulation shows that our analytical model is accurate and useful.