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Impact of Variances on the QoE in Video Streaming

机译：差异对视频流中QoE的影响

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In the current Internet video streaming is dominating fixed and mobile consumer traffic. However, wireless and mobile networks may lack bandwidth or suffer from severe bandwidth fluctuations. The question arises: What is the impact of bandwidth fluctuations on the Quality of Service (QoS) and the user perceived quality? The key contribution of this paper is the analysis of QoS in terms of application-level parameters (stalling duration and frequency) for reliable video-on-demand streaming. The QoS is mapped to Quality of Experience (QoE) based on an existing QoS-QoE model for HTTP streaming. Different network conditions, in particular average and variances of network bandwidths, and video bit rates are taken into account in the analysis. We approach this problem by modeling the video player as a queueing system and evaluate the transient phase of the non-stationary system by means of discrete-event simulations. The results of our study show that the characteristics of the network have a high impact on the QoS and a surprisingly low impact on the QoE under certain conditions.
机译：在当前的互联网中，视频流在固定和移动消费者流量中占主导地位。但是，无线和移动网络可能缺少带宽或遭受严重的带宽波动。问题出现了：带宽波动对服务质量（QoS）和用户感知质量有何影响？本文的主要贡献是根据可靠的视频点播流的应用程序级别参数（跟踪持续时间和频率）对QoS进行了分析。基于用于HTTP流的现有QoS-QoE模型，将QoS映射到体验质量（QoE）。分析中考虑了不同的网络条件，尤其是网络带宽的平均值和方差，以及视频比特率。我们通过将视频播放器建模为排队系统来解决此问题，并通过离散事件仿真来评估非固定系统的过渡阶段。我们的研究结果表明，在某些条件下，网络的特性对QoS的影响很大，而对QoE的影响却出乎意料的低。

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