帮助之手或隐藏的障碍:代理辅助的基于http的自适应流性能

Vengatanathan Krishnamoorthi, Niklas Carlsson, D. Eager, A. Mahanti, N. Shahmehri
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引用次数: 37

摘要

基于http的自适应流(HAS)已经成为一种应用广泛的视频传输技术。使用HTTP可以相对容易地实现防火墙/NAT遍历和内容缓存。虽然缓存是HAS的一个重要方面,但是关于代理及其策略对HAS的性能影响的公开研究并不多。在本文中,我们使用开源Squid代理和最新的开源媒体框架(OSMF)构建了一个实验性框架。可以在代理中实现一系列内容感知策略并进行测试,同时可以对播放器软件进行检测,以测量客户端所看到的性能。利用这一框架,本文做出了三个主要贡献。首先,我们对最新版本的OSMF播放器进行了基于场景的性能评估。其次,我们量化了使用不同代理辅助解决方案的好处,包括基本的最佳努力策略和更高级的内容质量感知预取策略。最后,我们提出并评估了一个合作框架,其中客户端和代理共享信息以提高性能。通常,瓶颈位置和网络条件在策略选择中发挥着最有利的作用,因为它们显著影响策略类之间的相对性能差异。我们得出的结论是,在尝试使用代理辅助来提高HAS性能时,仔细的设计和策略选择是重要的。
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Helping Hand or Hidden Hurdle: Proxy-Assisted HTTP-Based Adaptive Streaming Performance
HTTP-based Adaptive Streaming (HAS) has become a widely-used video delivery technology. Use of HTTP enables relatively easy firewall/NAT traversal and content caching. While caching is an important aspect of HAS, there is not much public research on the performance impact proxies and their policies have on HAS. In this paper we build an experimental framework using open source Squid proxies and the most recent Open Source Media Framework (OSMF). A range of content-aware policies can be implemented in the proxies and tested, while the player software can be instrumented to measure performance as seen at the client. Using this framework, the paper makes three main contributions. First, we present a scenario-based performance evaluation of the latest version of the OSMF player. Second, we quantify the benefits using different proxy-assisted solutions, including basic best effort policies and more advanced content quality aware prefetching policies. Finally, we present and evaluate a cooperative framework in which clients and proxies share information to improve performance. In general, the bottleneck location and network conditions play central roles in which policy choices are most advantageous, as they significantly impact the relative performance differences between policy classes. We conclude that careful design and policy selection is important when trying to enhance HAS performance using proxy assistance.
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