Xidong Wu, Zhengye Liu, Yali Liu, Menglin Liu, C. Yang, Jin Wang
{"title":"QoS Monitoring and Troubleshooting of a Large Scale IPTV Deployment","authors":"Xidong Wu, Zhengye Liu, Yali Liu, Menglin Liu, C. Yang, Jin Wang","doi":"10.1109/CyberC.2011.41","DOIUrl":null,"url":null,"abstract":"Several network segments are involved in a large scale IPTV deployment, from the original video content server to the set-top-box (STB). Each network segment could be error-prone. QoS monitoring and troubleshooting are critical to guarantee satisfying user experience. In this paper, we discuss QoS monitoring and troubleshooting in AT&T U-Verse, one of the largest IPTV deployments in the world.We present the overall architecture of U-Verse, with a focus on QoS. Furthermore, we review the current efforts in U-Verse on QoS monitoring and troubleshooting, as well as their challenges and opportunities. Moreover, we provide a case study on how to troubleshoot the U-Verse IPTV system with the data collected by current QoS monitoring and troubleshooting infrastructure.","PeriodicalId":227472,"journal":{"name":"2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CyberC.2011.41","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Several network segments are involved in a large scale IPTV deployment, from the original video content server to the set-top-box (STB). Each network segment could be error-prone. QoS monitoring and troubleshooting are critical to guarantee satisfying user experience. In this paper, we discuss QoS monitoring and troubleshooting in AT&T U-Verse, one of the largest IPTV deployments in the world.We present the overall architecture of U-Verse, with a focus on QoS. Furthermore, we review the current efforts in U-Verse on QoS monitoring and troubleshooting, as well as their challenges and opportunities. Moreover, we provide a case study on how to troubleshoot the U-Verse IPTV system with the data collected by current QoS monitoring and troubleshooting infrastructure.