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Path selection using available bandwidth estimation in overlay-based video streaming

机译:在基于覆盖的视频流中使用可用带宽估计进行路径选择

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摘要

IP networks present a challenging environment for video streaming because they do not provide throughput, jitter, or loss rate guarantees. In this work, we focus on improving the perceived quality of video streaming through dynamic path selection. Selecting one of several Internet paths is possible using multihoming and/or an overlay routing infrastructure. We conduct an experimental comparison of various measurement-based path selection techniques for video streaming. The path selection is based on the measurement of network-layer metrics, such as loss rate, jitter or available bandwidth, while the video quality is evaluated based on the VQM tool. Our experiments show that the most effective technique for adaptive path selection relies on an estimate of the lower bound of the available bandwidth variation range. We show how to perform such measurements using the video packets, eliminating the measurement overhead in the selected path. Finally, we show that adaptive path selection is more effective than a simple, but commonly used, form of FEC.
机译:IP网络无法提供吞吐量,抖动或丢失率保证,因此为视频流提供了具有挑战性的环境。在这项工作中,我们专注于通过动态路径选择来提高视频流的感知质量。使用多宿主和/或覆盖路由基础结构可以选择多个Internet路径之一。我们对各种基于测量的视频流路径选择技术进行了实验比较。路径选择基于网络层指标(例如丢失率,抖动或可用带宽)的度量,而视频质量则基于VQM工具进行评估。我们的实验表明,自适应路径选择最有效的技术取决于对可用带宽变化范围下限的估计。我们展示了如何使用视频数据包执行此类测量,从而消除了所选路径中的测量开销。最后,我们表明自适应路径选择比简单但常用的FEC形式更有效。

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