Frank Loh, Theodoros Karagkioules, Michael Seufert, Bernd Zeidler, D. Tsilimantos, P. Tran-Gia, S. Valentin, Florian Wamser
{"title":"Demo: A wrapper for automated measurements with YouTube's native app","authors":"Frank Loh, Theodoros Karagkioules, Michael Seufert, Bernd Zeidler, D. Tsilimantos, P. Tran-Gia, S. Valentin, Florian Wamser","doi":"10.1109/NOMS.2018.8406127","DOIUrl":null,"url":null,"abstract":"This demo introduces a wrapper used for automated measurements of mobile video streaming in the Android YouTube app. The difference to traditional measurement techniques is that the measurement is done with the native YouTube app as it is provided in the Google Play Store. In addition to bandwidth or packet loss detection, the QoE of the video stream can be measured and quantified. For this, the amount of quality changes, the current playtime, the buffer level, and statistics like video and audio format are captured. Thus, detailed relationships between network parameters and streaming behavior based on many factors can be detected within the native app available in the Play Store.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NOMS.2018.8406127","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
This demo introduces a wrapper used for automated measurements of mobile video streaming in the Android YouTube app. The difference to traditional measurement techniques is that the measurement is done with the native YouTube app as it is provided in the Google Play Store. In addition to bandwidth or packet loss detection, the QoE of the video stream can be measured and quantified. For this, the amount of quality changes, the current playtime, the buffer level, and statistics like video and audio format are captured. Thus, detailed relationships between network parameters and streaming behavior based on many factors can be detected within the native app available in the Play Store.
本演示介绍了一个用于在Android YouTube应用程序中自动测量移动视频流的包装器。与传统测量技术的不同之处在于,测量是在原生YouTube应用程序中完成的,因为它在Google Play Store中提供。除了带宽或丢包检测外,还可以测量和量化视频流的QoE。为此,将捕获质量变化量、当前播放时间、缓冲级别以及视频和音频格式等统计数据。因此,基于许多因素的网络参数和流媒体行为之间的详细关系可以在Play Store中可用的本机应用中检测到。