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Multimedia proxy caching mechanism for quality adaptive streaming applications in the Internet

机译:用于Internet中质量自适应流应用程序的多媒体代理缓存机制

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The Internet has witnessed a rapid growth in deployment of Web-based streaming applications during recent years. In these applications, the server should be able to perform end-to-end congestion control and quality adaptation to match the delivered stream quality to the average available bandwidth. Thus the delivered quality is limited by the bottleneck bandwidth on the path to the client. This paper proposes a proxy caching mechanism for layered-encoded multimedia streams in the Internet to maximize the delivered quality of popular streams to interested clients. The main challenge is to replay a quality-variable cached stream while performing quality adaptation effectively in response to the variations in available bandwidth. We present a prefetching mechanism to support higher quality cached streams during subsequent playbacks and improve the quality of the cached stream with its popularity. We exploit inherent properties of multimedia streams to extend the semantics of popularity and capture both level of interest among clients and usefulness of a layer in the cache. We devise a fine-grain replacement algorithm suited for layered-encoded streams. Our simulation results show that the interaction between the replacement algorithm and prefetching mechanism causes the state of the cache to converge to an efficient state such that the quality of a cached stream is proportional to its popularity, and the variations in quality of a cached stream are inversely proportional to its popularity. This implies that after serving several requests for a stream, the proxy can effectively hide low bandwidth paths to the original server from interested clients.
机译:近年来,Internet见证了基于Web的流应用程序的部署快速增长。在这些应用程序中,服务器应能够执行端到端的拥塞控制和质量调整,以使传递的流质量与平均可用带宽相匹配。因此,交付质量受到客户路径上瓶颈带宽的限制。本文提出了一种用于Internet中分层编码的多媒体流的代理缓存机制,以最大程度地将流行流传递给感兴趣的客户。主要挑战是在响应可用带宽的变化而有效执行质量自适应的同时,重放质量可变的缓存流。我们提出了一种预取机制,以在后续播放期间支持更高质量的缓存流,并通过其受欢迎程度提高缓存流的质量。我们利用多媒体流的固有属性来扩展流行度的语义,并捕获客户端之间的关注级别和缓存中一层的有用性。我们设计了一种适用于分层编码流的细粒度替换算法。我们的仿真结果表明,替换算法和预取机制之间的相互作用导致缓存状态收敛到有效状态,从而使缓存流的质量与其受欢迎程度成正比,并且缓存流的质量变化是与它的受欢迎程度成反比。这意味着在为一个流提供多个请求之后,代理可以有效地从感兴趣的客户端隐藏到原始服务器的低带宽路径。

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