{"title":"测量和分析IP流量","authors":"N. M. Garcia, P. Monteiro, M. Freire","doi":"10.1109/ECUMN.2007.33","DOIUrl":null,"url":null,"abstract":"Measurement of network traffic is a fundamental issue to manage the network itself. The highly self-similar nature of IP traffic makes its measurement and profiling a very complex task. In this paper we identify a number of dimensions over which we can measure and profile IP traffic flows. We propose a set of statistics that can be used on the identified dimensions and allow the definition of traffic profile models","PeriodicalId":202819,"journal":{"name":"Fourth European Conference on Universal Multiservice Networks (ECUMN'07)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Measuring and Profiling IP Traffic\",\"authors\":\"N. M. Garcia, P. Monteiro, M. Freire\",\"doi\":\"10.1109/ECUMN.2007.33\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Measurement of network traffic is a fundamental issue to manage the network itself. The highly self-similar nature of IP traffic makes its measurement and profiling a very complex task. In this paper we identify a number of dimensions over which we can measure and profile IP traffic flows. We propose a set of statistics that can be used on the identified dimensions and allow the definition of traffic profile models\",\"PeriodicalId\":202819,\"journal\":{\"name\":\"Fourth European Conference on Universal Multiservice Networks (ECUMN'07)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-02-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth European Conference on Universal Multiservice Networks (ECUMN'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECUMN.2007.33\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth European Conference on Universal Multiservice Networks (ECUMN'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECUMN.2007.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measurement of network traffic is a fundamental issue to manage the network itself. The highly self-similar nature of IP traffic makes its measurement and profiling a very complex task. In this paper we identify a number of dimensions over which we can measure and profile IP traffic flows. We propose a set of statistics that can be used on the identified dimensions and allow the definition of traffic profile models
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