{"title":"互联网流量数据的自相似和分形特性","authors":"G. Keeni, T. Roy, Norio Shiratori","doi":"10.1109/ICOIN.2001.905432","DOIUrl":null,"url":null,"abstract":"The Internet traffic being extremely variable and bursty in a wide range of time scales is usually characterised by a self-similarity parameter (/spl beta/), which describes its statistics depending on the scales of resolution. We study the characteristics on some previous data and observe that it can have another parameter which is its fractal dimension (D).","PeriodicalId":332734,"journal":{"name":"Proceedings 15th International Conference on Information Networking","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Self-similar and fractal nature of Internet traffic data\",\"authors\":\"G. Keeni, T. Roy, Norio Shiratori\",\"doi\":\"10.1109/ICOIN.2001.905432\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Internet traffic being extremely variable and bursty in a wide range of time scales is usually characterised by a self-similarity parameter (/spl beta/), which describes its statistics depending on the scales of resolution. We study the characteristics on some previous data and observe that it can have another parameter which is its fractal dimension (D).\",\"PeriodicalId\":332734,\"journal\":{\"name\":\"Proceedings 15th International Conference on Information Networking\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 15th International Conference on Information Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOIN.2001.905432\",\"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 15th International Conference on Information Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIN.2001.905432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Self-similar and fractal nature of Internet traffic data
The Internet traffic being extremely variable and bursty in a wide range of time scales is usually characterised by a self-similarity parameter (/spl beta/), which describes its statistics depending on the scales of resolution. We study the characteristics on some previous data and observe that it can have another parameter which is its fractal dimension (D).
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