{"title":"有线视频传输网络的QoS分析","authors":"Hiroaki Shikano, Takeshi Shibata, Qi Shen, M. Hanaoka, Mariko Miyaki, Masahide Ban, Prasad Rallapalli, Yukinori Sakashita","doi":"10.5220/0006436600850092","DOIUrl":null,"url":null,"abstract":"Telecommunication service providers are now using analytics to differentiate their network services with better Quality of Service (QoS) and Quality of Experience (QoE) as well as to increase operational efficiency. Cable service providers have complex video delivery IP networks, and efficient management of such networks as well as reduction of service impairment time are imperative. We have developed a new cable service QoS analysis solution that provides an end-to-end view of the control and data-plane flows associated with delivery of a video channel and shows identified failure points. Initial evaluation revealed that the solution can reduce the service down time to 62.3% of what it would be without the solution.","PeriodicalId":172337,"journal":{"name":"International Conference on Data Communication Networking","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"QoS Analysis on Cable Video Delivery Networks\",\"authors\":\"Hiroaki Shikano, Takeshi Shibata, Qi Shen, M. Hanaoka, Mariko Miyaki, Masahide Ban, Prasad Rallapalli, Yukinori Sakashita\",\"doi\":\"10.5220/0006436600850092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Telecommunication service providers are now using analytics to differentiate their network services with better Quality of Service (QoS) and Quality of Experience (QoE) as well as to increase operational efficiency. Cable service providers have complex video delivery IP networks, and efficient management of such networks as well as reduction of service impairment time are imperative. We have developed a new cable service QoS analysis solution that provides an end-to-end view of the control and data-plane flows associated with delivery of a video channel and shows identified failure points. Initial evaluation revealed that the solution can reduce the service down time to 62.3% of what it would be without the solution.\",\"PeriodicalId\":172337,\"journal\":{\"name\":\"International Conference on Data Communication Networking\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Data Communication Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0006436600850092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Data Communication Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0006436600850092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Telecommunication service providers are now using analytics to differentiate their network services with better Quality of Service (QoS) and Quality of Experience (QoE) as well as to increase operational efficiency. Cable service providers have complex video delivery IP networks, and efficient management of such networks as well as reduction of service impairment time are imperative. We have developed a new cable service QoS analysis solution that provides an end-to-end view of the control and data-plane flows associated with delivery of a video channel and shows identified failure points. Initial evaluation revealed that the solution can reduce the service down time to 62.3% of what it would be without the solution.
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