{"title":"内容分发网络概率-时间特征分析","authors":"K.P. Vintural, D. Ponomarev","doi":"10.1109/SIBCON.2009.5044826","DOIUrl":null,"url":null,"abstract":"The probability-time characteristics - loading of devices, probability of losses etc are very important for modern networks. Currently methods of the analysis do not allow determining the given parameters with the high accuracy. Tensor analysis allows determining this characteristics with high accuracy for any kind of networks.","PeriodicalId":164545,"journal":{"name":"2009 International Siberian Conference on Control and Communications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Content delivery network probability-time characteristics analysis\",\"authors\":\"K.P. Vintural, D. Ponomarev\",\"doi\":\"10.1109/SIBCON.2009.5044826\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The probability-time characteristics - loading of devices, probability of losses etc are very important for modern networks. Currently methods of the analysis do not allow determining the given parameters with the high accuracy. Tensor analysis allows determining this characteristics with high accuracy for any kind of networks.\",\"PeriodicalId\":164545,\"journal\":{\"name\":\"2009 International Siberian Conference on Control and Communications\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Siberian Conference on Control and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBCON.2009.5044826\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Siberian Conference on Control and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBCON.2009.5044826","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The probability-time characteristics - loading of devices, probability of losses etc are very important for modern networks. Currently methods of the analysis do not allow determining the given parameters with the high accuracy. Tensor analysis allows determining this characteristics with high accuracy for any kind of networks.
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