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Adaptive Streaming: The Network HAS to Help

机译:自适应流:网络必须提供帮助

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HTTP adaptive streaming (HAS) is becoming popular for video delivery because it dynamically provides high quality content. A HAS client does this by requesting a small chunk of video at a time, selecting the chunk quality based on inferred network conditions and its own buffer state. Because chunks are requested using Hypertext Transfer Protocol (HTTP), they traverse firewalls and are cacheable like any other Web content. Even though HAS is compatible with existing infrastructure, HAS's near-real time demands and the new request patterns it causes require an understanding of the interaction between the network and HAS algorithms. In this paper, we evaluate the responsiveness of HAS algorithms under dynamic conditions and how it affects the overall user experience as well as key infrastructure resources, particularly intermediate caches. Relevant scenarios we evaluate include varying delays, available bandwidth, cache response times, and interaction with competing traffic.
机译:HTTP自适应流(HAS)在视频传递中变得越来越流行,因为它可以动态提供高质量的内容。 HAS客户端通过一次请求一小段视频,并根据推断的网络条件及其自身的缓冲区状态选择块质量来做到这一点。由于块是使用超文本传输​​协议(HTTP)请求的,因此它们穿越防火墙,并且像任何其他Web内容一样可缓存。即使HAS与现有基础结构兼容,HAS的近实时要求及其引起的新请求模式也需要了解网络与HAS算法之间的交互。在本文中,我们评估了HAS算法在动态条件下的响应能力,以及它如何影响整体用户体验以及关键基础架构资源,特别是中间缓存。我们评估的相关方案包括变化的延迟,可用带宽,缓存响应时间以及与竞争流量的交互。

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