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Media streaming via TFRC: An analytical study of the impact of TFRC on user-perceived media quality

机译:通过TFRC进行媒体流传输:分析TFRC对用户感知媒体质量的影响

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摘要

TCP-Friendly Rate Control (TFRC) is being adopted in Internet standards for congestion control of streaming media applications. In this paper, we consider the transmission of prerecorded media from a server to a client by using TFRC, and analytically study the impact of TFRC on user-perceived media quality, which is roughly measured by calculating the rebuffering probability. A rebuffering probability is defined to be the probability that the total duration of all rebuffering events experienced by a user is longer than a certain threshold. Several approaches are presented to help an application determine an appropriate initial buffering delay and media playback rate in order to achieve a certain rebuffering probability under a given network condition. First, we derive a closed-form expression to approximate the average TFRC sending rate, which could be used as the maximum allowed playback rate of a media stream. Second, we develop a queueing model for a TFRC client buffer with the traffic described by a Markov-Renewal-Modulated Deterministic Process (MRMDP), which captures the fundamental behavior of TFRC that predicts the immediate future TCP sending rate based on the history of past loss intervals. We present a closed-form solution and a more accurate iterative method to solve the queueing model and calculate the rebuffering probability.
机译:Internet标准已采用TCP友好速率控制(TFRC)来控制流媒体应用程序的拥塞。在本文中,我们考虑使用TFRC从服务器向客户端传输预先录制的媒体,并分析研究TFRC对用户感知媒体质量的影响,这可以通过计算重新缓冲概率来大致衡量。重缓冲概率被定义为用户经历的所有重缓冲事件的总持续时间长于某个阈值的概率。提出了几种方法来帮助应用程序确定适当的初始缓冲延迟和媒体播放速率,以便在给定的网络条件下实现一定的重新缓冲概率。首先,我们导出一个封闭形式的表达式来近似平均TFRC发送速率,该速率可以用作媒体流的最大允许播放速率。其次,我们使用马尔可夫-更新-调制确定性过程(MRMDP)描述的流量,为TFRC客户缓冲区开发了一个排队模型,该模型捕获了TFRC的基本行为,该行为基于过去的历史预测了近期的TCP发送速率损失间隔。我们提出了一种封闭形式的解决方案和一种更准确的迭代方法来求解排队模型并计算重新缓冲的概率。

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