想玩DASH吗?一种基于HTTP的自适应流的博弈论方法

A. Bentaleb, A. Begen, S. Harous, Roger Zimmermann
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引用次数: 30

摘要

在流媒体中,提供良好的观众体验以保持客户忠诚度至关重要。先前的研究表明,当共享的互联网资源难以满足流媒体客户端的需求时,这是相当困难的,流媒体客户端在很大程度上是为了自己的利益而设计的。迄今为止,已经提出了几种自适应流的方案来解决这一挑战,并取得了不同的成功。在本文中,我们采取了一种不同的方法,并发展了一种博弈论的方法。我们提供了一个集成在dash.js参考播放器中的实际实现,并使用跟踪驱动和现实世界的实验,对最先进的方法进行了大量比较。我们的方法在平均观众体验方面比竞争对手高出38.5%,在视频稳定性方面比竞争对手高出62%。
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Want to play DASH?: a game theoretic approach for adaptive streaming over HTTP
In streaming media, it is imperative to deliver a good viewer experience to preserve customer loyalty. Prior research has shown that this is rather difficult when shared Internet resources struggle to meet the demand from streaming clients that are largely designed to behave in their own self-interest. To date, several schemes for adaptive streaming have been proposed to address this challenge with varying success. In this paper, we take a different approach and develop a game theoretic approach. We present a practical implementation integrated in the dash.js reference player and provide substantial comparisons against the state-of-the-art methods using trace-driven and real-world experiments. Our approach outperforms its competitors in the average viewer experience by 38.5% and in video stability by 62%.
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