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B-DASH: broadcast-based dynamic adaptive streaming over HTTP

机译：B-DASH：通过HTTP的基于广播的动态自适应流

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摘要

Multiple video players competing at a bottleneck link give rise to overlapping ON-OFF traffic patterns. These patterns may introduce the problem of overlapping oscillatory effects amongst players resulting in poor video quality, frequent flickering and video freezes. We propose a distributed heuristic hybrid-based approach called B-DASH to address this problem. B-DASH implements two mechanisms: 1) message exchange; 2) adaptation. During message exchange, a broadcast mechanism is used to send information to neighbouring players. Based on the information present in this exchange, players can adapt to different network conditions. In this adaptation approach, B-DASH players with the higher estimated bandwidth are forced to reduce their bitrate request, while players with the lowest estimated bandwidth increase their bitrate request. This action reduces the oscillatory effects of the ON-OFF traffic patterns. Adaptive video streaming players using the B-DASH approach are compared to other players using conventional, PANDA and ELASTIC approaches. Experimental evaluation of B-DASH indicates good quality of experience (QoE) characteristics for players. Possible trade-offs for players using the B-DASH approach is investigated under various network conditions. The results show improvements of up to 5% bandwidth utilisation, 79% fairness, 27% re-buffering ratios, 57% stability and 9% quality.
机译：多个视频播放器在瓶颈链路上竞争会导致重叠的ON-OFF流量模式。这些模式可能会引起播放器之间重叠振荡效应的问题，从而导致视频质量差，频繁闪烁和视频冻结。我们提出了一种基于分布式启发式混合的方法，称为B-DASH，以解决此问题。 B-DASH实现了两种机制：1）消息交换； 2）适应。在消息交换期间，使用广播机制将信息发送到相邻播放器。根据此交换中存在的信息，玩家可以适应不同的网络条件。在这种适应方法中，具有较高估计带宽的B-DASH播放器被迫降低其比特率请求，而具有最低估计带宽的播放器将提高其比特率请求。此操作减少了通断流量模式的振荡影响。将使用B-DASH方法的自适应视频流播放器与使用常规，PANDA和ELASTIC方法的其他播放器进行比较。 B-DASH的实验评估为玩家提供了良好的体验质量（QoE）特征。在各种网络条件下，都对使用B-DASH方法的播放器可能进行的取舍进行了研究。结果表明，带宽利用率提高了5％，公平性提高了79％，重新缓冲比提高了27％，稳定性提高了57％，质量提高了9％。

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