{"title":"为无线网络仿真生成自相似流量","authors":"R. Yeryomin, E. Petersons","doi":"10.1109/BCFIC-RIGA.2011.5733240","DOIUrl":null,"url":null,"abstract":"It was shown many times by different researches that computer network traffic tends to be self-similar. High self-similarity degree has great impact on network routers, switches and wireless access points reducing their capability to process requests. This is why it is important to have simulation models for self-similar traffic. In this article authors propose new method for time sequence generation with high degree of self-similarity.","PeriodicalId":428618,"journal":{"name":"2011 Baltic Congress on Future Internet and Communications","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Generating self-similar traffic for wireless network simulation\",\"authors\":\"R. Yeryomin, E. Petersons\",\"doi\":\"10.1109/BCFIC-RIGA.2011.5733240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It was shown many times by different researches that computer network traffic tends to be self-similar. High self-similarity degree has great impact on network routers, switches and wireless access points reducing their capability to process requests. This is why it is important to have simulation models for self-similar traffic. In this article authors propose new method for time sequence generation with high degree of self-similarity.\",\"PeriodicalId\":428618,\"journal\":{\"name\":\"2011 Baltic Congress on Future Internet and Communications\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Baltic Congress on Future Internet and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BCFIC-RIGA.2011.5733240\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Baltic Congress on Future Internet and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BCFIC-RIGA.2011.5733240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generating self-similar traffic for wireless network simulation
It was shown many times by different researches that computer network traffic tends to be self-similar. High self-similarity degree has great impact on network routers, switches and wireless access points reducing their capability to process requests. This is why it is important to have simulation models for self-similar traffic. In this article authors propose new method for time sequence generation with high degree of self-similarity.