{"title":"基于用户的网络(WAN)流量分析","authors":"C. Dethe, D. Wakde","doi":"10.1109/APCC.2003.1274281","DOIUrl":null,"url":null,"abstract":"Today's complex network traffic is the aggregation of traffic generated by individual sources on network. Therefore access pattern of users is of immense importance in order to model and simulate the network traffic using user characteristics. In this study we identify the parameter matrix to characterise the individual user and compute their correlation analysis in order to find their independence, useful criterion for modeling.","PeriodicalId":277507,"journal":{"name":"9th Asia-Pacific Conference on Communications (IEEE Cat. No.03EX732)","volume":"44 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"User based network (WAN) traffic analysis\",\"authors\":\"C. Dethe, D. Wakde\",\"doi\":\"10.1109/APCC.2003.1274281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today's complex network traffic is the aggregation of traffic generated by individual sources on network. Therefore access pattern of users is of immense importance in order to model and simulate the network traffic using user characteristics. In this study we identify the parameter matrix to characterise the individual user and compute their correlation analysis in order to find their independence, useful criterion for modeling.\",\"PeriodicalId\":277507,\"journal\":{\"name\":\"9th Asia-Pacific Conference on Communications (IEEE Cat. No.03EX732)\",\"volume\":\"44 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"9th Asia-Pacific Conference on Communications (IEEE Cat. No.03EX732)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCC.2003.1274281\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"9th Asia-Pacific Conference on Communications (IEEE Cat. No.03EX732)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCC.2003.1274281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Today's complex network traffic is the aggregation of traffic generated by individual sources on network. Therefore access pattern of users is of immense importance in order to model and simulate the network traffic using user characteristics. In this study we identify the parameter matrix to characterise the individual user and compute their correlation analysis in order to find their independence, useful criterion for modeling.
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