{"title":"Shaping HTTP adaptive streams using receive window tuning method in home gateway","authors":"C. Ameur, Emmanuel Mory, Bernard A. Cousin","doi":"10.1109/PCCC.2014.7017042","DOIUrl":null,"url":null,"abstract":"In this paper, we describe a new method, called RWTM (Receive Window Tuning Method) that shapes HTTP adaptive streams. It employs the flow control in the gateway to improve the quality of experience (QoE) of users. Our use case is when two HTTP Adaptive streaming clients are competing for bandwidth in the same home network. Results show that our proposed method considerably improves the QoE; it improves the video stability, the fidelity to optimal video quality level selection and the convergence speed to the optimal video quality level.","PeriodicalId":105442,"journal":{"name":"2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCCC.2014.7017042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper, we describe a new method, called RWTM (Receive Window Tuning Method) that shapes HTTP adaptive streams. It employs the flow control in the gateway to improve the quality of experience (QoE) of users. Our use case is when two HTTP Adaptive streaming clients are competing for bandwidth in the same home network. Results show that our proposed method considerably improves the QoE; it improves the video stability, the fidelity to optimal video quality level selection and the convergence speed to the optimal video quality level.