A. Skatkov, A. Bryukhovetskiy, V. Shevchenko, D. Voronin
{"title":"基于异方差效应的网络流量状态质变监测","authors":"A. Skatkov, A. Bryukhovetskiy, V. Shevchenko, D. Voronin","doi":"10.1109/ICAICT.2016.7991765","DOIUrl":null,"url":null,"abstract":"The proposed approach is based on the use of the heteroscedasticity effect, which is widely known in econometrics. The authors believe that it can give significant positive results for the detection of changes of network traffic states while analyzing the dispersion of the random errors in the regression equations. This method will allow to solve the problem of the definition of supply and demand on the services maintenance in the cloud environments.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Monitoring of qualitative changes of network traffic states based on the heteroscedasticity effect\",\"authors\":\"A. Skatkov, A. Bryukhovetskiy, V. Shevchenko, D. Voronin\",\"doi\":\"10.1109/ICAICT.2016.7991765\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proposed approach is based on the use of the heteroscedasticity effect, which is widely known in econometrics. The authors believe that it can give significant positive results for the detection of changes of network traffic states while analyzing the dispersion of the random errors in the regression equations. This method will allow to solve the problem of the definition of supply and demand on the services maintenance in the cloud environments.\",\"PeriodicalId\":446472,\"journal\":{\"name\":\"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICT.2016.7991765\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2016.7991765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Monitoring of qualitative changes of network traffic states based on the heteroscedasticity effect
The proposed approach is based on the use of the heteroscedasticity effect, which is widely known in econometrics. The authors believe that it can give significant positive results for the detection of changes of network traffic states while analyzing the dispersion of the random errors in the regression equations. This method will allow to solve the problem of the definition of supply and demand on the services maintenance in the cloud environments.
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