Accelerating Internet streaming media delivery using network-aware partial caching

Shudong Jin, Azer Bestavros, A. Iyengar
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引用次数: 71

Abstract

Internet streaming applications are affected by adverse network conditions such as high packet loss rates and long delays. This paper aims at mitigating such effects by leveraging the availability of client-side caching proxies. We present a novel caching architecture and associated cache management algorithms that turn edge caches into accelerators of streaming media delivery. A salient feature of our caching algorithms is that they allow partial caching of streaming media objects and joint delivery of content from caches and origin servers. The caching algorithms we propose are both network-aware and stream-aware; they take into account the popularity of streaming media objects, their bit-rate requirements, and the available bandwidth between clients and servers. Using realistic models of Internet bandwidth derived from proxy cache logs and measured over real Internet paths, we have conducted simulations to evaluate the performance of various cache management alternatives. Our experiments demonstrate that network-aware caching algorithms can significantly reduce service delay and improve overall stream quality. Our experiments also show that partial caching is particularly effective when bandwidth variability is not very high.
使用网络感知部分缓存加速Internet流媒体传输
Internet流媒体应用会受到高丢包率和长时延等不利网络条件的影响。本文旨在通过利用客户端缓存代理的可用性来减轻这种影响。我们提出了一种新的缓存架构和相关的缓存管理算法,将边缘缓存转变为流媒体传输的加速器。我们的缓存算法的一个显著特征是,它们允许部分缓存流媒体对象,以及从缓存和原始服务器联合交付内容。我们提出的缓存算法同时具有网络感知和流感知;它们考虑了流媒体对象的流行程度、它们的比特率要求以及客户机和服务器之间的可用带宽。使用来自代理缓存日志的真实的互联网带宽模型,并在真实的互联网路径上测量,我们进行了模拟,以评估各种缓存管理备选方案的性能。我们的实验表明,网络感知缓存算法可以显著降低服务延迟,提高整体流质量。我们的实验还表明,当带宽可变性不是很高时,部分缓存特别有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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