V. Elagin, I. Belozertsev, B. S. Goldshtein, A. V. Onufrienko, A. Vladyko
{"title":"OTT服务QOE保障模式","authors":"V. Elagin, I. Belozertsev, B. S. Goldshtein, A. V. Onufrienko, A. Vladyko","doi":"10.1109/SOSG.2019.8706748","DOIUrl":null,"url":null,"abstract":"This article discusses the main models that contribute to improving the quality of OTT services. The main parameter for quality assessment was chosenQoE-Quality of Experience. An analysis was made of a number of factors that directly affect the assessment of QoE. The second part of the article deals with models that can provide the necessary level of quality for OTT services. These models were divided into three groups: traffic-based models, application-based models, and speed-based models. The main task of the study is to find optimal solutions to ensure the quality of OTT services.","PeriodicalId":418978,"journal":{"name":"2019 Systems of Signals Generating and Processing in the Field of on Board Communications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Models of QOE ensuring for OTT services\",\"authors\":\"V. Elagin, I. Belozertsev, B. S. Goldshtein, A. V. Onufrienko, A. Vladyko\",\"doi\":\"10.1109/SOSG.2019.8706748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article discusses the main models that contribute to improving the quality of OTT services. The main parameter for quality assessment was chosenQoE-Quality of Experience. An analysis was made of a number of factors that directly affect the assessment of QoE. The second part of the article deals with models that can provide the necessary level of quality for OTT services. These models were divided into three groups: traffic-based models, application-based models, and speed-based models. The main task of the study is to find optimal solutions to ensure the quality of OTT services.\",\"PeriodicalId\":418978,\"journal\":{\"name\":\"2019 Systems of Signals Generating and Processing in the Field of on Board Communications\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Systems of Signals Generating and Processing in the Field of on Board Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOSG.2019.8706748\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Systems of Signals Generating and Processing in the Field of on Board Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOSG.2019.8706748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This article discusses the main models that contribute to improving the quality of OTT services. The main parameter for quality assessment was chosenQoE-Quality of Experience. An analysis was made of a number of factors that directly affect the assessment of QoE. The second part of the article deals with models that can provide the necessary level of quality for OTT services. These models were divided into three groups: traffic-based models, application-based models, and speed-based models. The main task of the study is to find optimal solutions to ensure the quality of OTT services.
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