视频流的多余带宽使用:当视频分辨率不匹配浏览器视窗

Othmane Belmoukadam, Muhammad Jawad Khokhar, C. Barakat
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引用次数: 3

摘要

毫无疑问,视频流是互联网上最主要的应用。每次请求视频流媒体平台(例如,YouTube, Dailymotion或Netflix)时,浏览器加载网页,设置视频播放器,然后检索并呈现请求的内容。视频流传输基于基于HTTP的动态自适应流(DASH),它考虑了底层网络条件(如延迟、损失率和吞吐量)和终端特性(视口)来选择向服务器请求的视频分辨率。考虑到终端特性,特别是视口,我们在这项工作中质疑这种传输的效率,因为知道请求超过视口的分辨率会导致带宽浪费。这种带宽浪费既可以在用户使用按需付费的数据平面时节省资金,也可以从需要带宽的其他用户那里窃取带宽,以进一步提高他们的体验质量(QoE)。为了缩小统计数据,我们提出了一个受控的实验框架,利用YouTube和Dailymotion视频播放器和Chrome web请求API来评估浏览器视口对观察到的视频分辨率模式的影响[1]-[3]。在第一次尝试中,我们使用观察到的模式来量化浪费的带宽量。我们的数据驱动分析指出,与YouTube播放器相比,Dailymotion播放器对小视口(240×144和400×225)的高灵敏度分别减少了15%和8%的带宽浪费。然而,随着用户转向大视口,YouTube播放器变得比Dailymotion播放器更友好,显示出估计28%的带宽浪费。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On excess bandwidth usage of video streaming: when video resolution mismatches browser viewport
Video streaming is, without a doubt, the most dominant application on the Internet. Each time a video streaming platform (e.g., YouTube, Dailymotion or Netflix) is requested, the browser loads a web page, setups the video player, then retrieves and renders the requested content. The video streaming transmission is based on the dynamic adaptive streaming over HTTP (DASH) which takes into consideration the underlying network conditions (e.g., delay, loss rate and throughput) and the terminal characteristics (viewport) to select the video resolution to request from the server. We question in this work the efficiency of this transmission in taking into account the terminal characteristics, the viewport in particular, knowing that requesting a resolution exceeding the viewport results in waste of bandwidth. Such bandwidth waste can either save money when the user is on a pay as you go data plane, or steal bandwidth from other users who are in need for it to further improve their Quality of Experience (QoE). To narrow the stats, we present a controlled experimental framework that leverages the YouTube and Dailymotion video players and the Chrome web request API to assess the impact of browser viewport on the observed video resolution pattern [1]–[3]. In a first attempt of kind, we use the observed patterns to quantify the amount of wasted bandwidth. Our data-driven analysis points to high sensitivity of the Dailymotion player toward small viewports (240×144 and 400×225) compared to the YouTube player resulting in 15% and 8 % less bandwidth waste respectively. However, as the users shift toward large viewports, the YouTube player becomes more viewport friendly compared to the Dailymotion player with shows an estimated bandwidth waste of 28%.
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