{"title":"基于on - off模型的AOS复用多概率分布自相似性研究","authors":"Yuntao Zhao, Chengsheng Pan, Ye Tian, Mingxue Bi","doi":"10.1109/ICINIS.2010.83","DOIUrl":null,"url":null,"abstract":"Pareto on-off models were widely adopted to simulate and construct network traffic with self-similar characteristic. In this paper, a new Pareto-Poisson model was proposed based on AOS multiplexing. And the new model can produce self-similarity network traffic with adjustable H parameter. In the R/S test algorithm, the new self-similar represents well the self-similar characteristic.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reseach on the Self-Similarity of Multi-probabilty Ditribution Based on ON-OFF Models in AOS Multiplexing\",\"authors\":\"Yuntao Zhao, Chengsheng Pan, Ye Tian, Mingxue Bi\",\"doi\":\"10.1109/ICINIS.2010.83\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pareto on-off models were widely adopted to simulate and construct network traffic with self-similar characteristic. In this paper, a new Pareto-Poisson model was proposed based on AOS multiplexing. And the new model can produce self-similarity network traffic with adjustable H parameter. In the R/S test algorithm, the new self-similar represents well the self-similar characteristic.\",\"PeriodicalId\":319379,\"journal\":{\"name\":\"2010 Third International Conference on Intelligent Networks and Intelligent Systems\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Conference on Intelligent Networks and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINIS.2010.83\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINIS.2010.83","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reseach on the Self-Similarity of Multi-probabilty Ditribution Based on ON-OFF Models in AOS Multiplexing
Pareto on-off models were widely adopted to simulate and construct network traffic with self-similar characteristic. In this paper, a new Pareto-Poisson model was proposed based on AOS multiplexing. And the new model can produce self-similarity network traffic with adjustable H parameter. In the R/S test algorithm, the new self-similar represents well the self-similar characteristic.