{"title":"基于不同扩散算子的交通矩阵多分辨率分析","authors":"Binze Zhong, Hui Tian","doi":"10.1109/PDCAT.2013.26","DOIUrl":null,"url":null,"abstract":"Traffic matrix describes the data flow between each pair of Origin-Destination (OD) over a measured period. However, it is very hard to be obtained in a large scale network. This paper compares two available diffusion operators. Based on the selection of good diffusion operator, we conduct multi-resolution analysis (MRA) on traffic matrices by diffusion wavelets. We also propose a method to detect the anomaly of the traffic matrix during a continuous period of time based on diffusion wavelet analysis.","PeriodicalId":187974,"journal":{"name":"2013 International Conference on Parallel and Distributed Computing, Applications and Technologies","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-resolution Analysis on Traffic Matrix by Different Diffusion Operators\",\"authors\":\"Binze Zhong, Hui Tian\",\"doi\":\"10.1109/PDCAT.2013.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traffic matrix describes the data flow between each pair of Origin-Destination (OD) over a measured period. However, it is very hard to be obtained in a large scale network. This paper compares two available diffusion operators. Based on the selection of good diffusion operator, we conduct multi-resolution analysis (MRA) on traffic matrices by diffusion wavelets. We also propose a method to detect the anomaly of the traffic matrix during a continuous period of time based on diffusion wavelet analysis.\",\"PeriodicalId\":187974,\"journal\":{\"name\":\"2013 International Conference on Parallel and Distributed Computing, Applications and Technologies\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Parallel and Distributed Computing, Applications and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDCAT.2013.26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Parallel and Distributed Computing, Applications and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDCAT.2013.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-resolution Analysis on Traffic Matrix by Different Diffusion Operators
Traffic matrix describes the data flow between each pair of Origin-Destination (OD) over a measured period. However, it is very hard to be obtained in a large scale network. This paper compares two available diffusion operators. Based on the selection of good diffusion operator, we conduct multi-resolution analysis (MRA) on traffic matrices by diffusion wavelets. We also propose a method to detect the anomaly of the traffic matrix during a continuous period of time based on diffusion wavelet analysis.