{"title":"基于扩散小波的交通矩阵分析","authors":"Hui Tian, M. Roughan, Yingpeng Sang, Hong Shen","doi":"10.1109/PDCAT.2011.35","DOIUrl":null,"url":null,"abstract":"Traffic matrix describes the traffic volumes traversing the network from the input nodes to the exit nodes over a measured period. Such a matrix is very hard, if not intractable, to be obtained for a large network. We apply a new technique to analyze the traffic matrix by use of diffusion wavelet in this paper. It is shown that diffusion wavelet can do an efficient multi-resolution analysis on TM. The original TM can be reconstructed by choosing the diffused traffic in a particular level. This paper also shows there are a lot of potential applications by use of diffusion wavelet-based analysis on traffic matrix.","PeriodicalId":137617,"journal":{"name":"2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Diffusion Wavelets-Based Analysis on Traffic Matrices\",\"authors\":\"Hui Tian, M. Roughan, Yingpeng Sang, Hong Shen\",\"doi\":\"10.1109/PDCAT.2011.35\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traffic matrix describes the traffic volumes traversing the network from the input nodes to the exit nodes over a measured period. Such a matrix is very hard, if not intractable, to be obtained for a large network. We apply a new technique to analyze the traffic matrix by use of diffusion wavelet in this paper. It is shown that diffusion wavelet can do an efficient multi-resolution analysis on TM. The original TM can be reconstructed by choosing the diffused traffic in a particular level. This paper also shows there are a lot of potential applications by use of diffusion wavelet-based analysis on traffic matrix.\",\"PeriodicalId\":137617,\"journal\":{\"name\":\"2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDCAT.2011.35\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDCAT.2011.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diffusion Wavelets-Based Analysis on Traffic Matrices
Traffic matrix describes the traffic volumes traversing the network from the input nodes to the exit nodes over a measured period. Such a matrix is very hard, if not intractable, to be obtained for a large network. We apply a new technique to analyze the traffic matrix by use of diffusion wavelet in this paper. It is shown that diffusion wavelet can do an efficient multi-resolution analysis on TM. The original TM can be reconstructed by choosing the diffused traffic in a particular level. This paper also shows there are a lot of potential applications by use of diffusion wavelet-based analysis on traffic matrix.