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A segmentation-based fine-grained peer sharing technique for delivering large media files in content distribution networks

机译:基于分段的细粒度对等共享技术,用于在内容分发网络中交付大型媒体文件

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摘要

Delivering large media files over the Internet is a challenging task because it has some unique features that are different from delivering conventional Web documents. In this paper, we propose a fine-grained peer sharing technique for dealing with the problem in the context of content distribution networks. The key difference of the technique from conventional peer-to-peer systems is that the unit of peer sharing is not a complete media file, but at a finer granularity. By doing so, we improve the flexibility of replica servers for handling client requests. We analyze the storage requirement at replica servers and design a scheduling algorithm to coordinate the delivery process from multiple replica servers to a client. Our simulations show that the fine-grained peer sharing approach can reduce the initial latency of clients and the rejection rate of the system significantly over a simple peer sharing method.
机译:通过Internet传递大型媒体文件是一项具有挑战性的任务,因为它具有一些与传递常规Web文档不同的独特功能。在本文中,我们提出了一种细粒度的对等共享技术来解决内容分发网络中的问题。该技术与常规对等系统的主要区别在于,对等共享的单元不是完整的媒体文件,而是更精细的粒度。通过这样做,我们提高了副本服务器处理客户端请求的灵活性。我们分析了副本服务器上的存储需求,并设计了调度算法来协调从多个副本服务器到客户端的交付过程。我们的仿真表明,与简单的对等共享方法相比,细粒度的对等共享方法可以显着减少客户端的初始延迟和系统的拒绝率。

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