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Resource Pooling in Large-Scale Content Delivery Systems

机译:大规模内容交付系统中的资源池

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Content delivery networks are a key infrastructure component used by Video on Demand (VoD) services to deliver content over the Internet. We study a content delivery system consisting of a central server and multiple co-located caches, each with limited storage and service capabilities. This work evaluates the performance of such a system as a function of the storage capacity of the caches, the content replication strategy, and the service policy. This analysis can be used for a system-level optimization of these design choices. The focus of this work is on understanding the benefits of allowing caches to pool their resources to serve user requests. We show that the benefits of resource pooling depend on the popularity profile of the contents offered by the VoD service. More specifically, if the popularity does not vary drastically across contents, then resource pooling leads to an order wise reduction in central server transmission rate as the system size grows. On the other hand, if the content popularity is skewed, the central server transmission rate is of the same order with and without resource pooling.
机译:内容交付网络是视频按需(VOD)服务使用的关键基础架构组件,以通过Internet提供内容。我们研究了由中央服务器和多个共同位高速缓存组成的内容传递系统,每个都具有有限的存储和服务能力。这项工作评估了这种系统的性能作为缓存,内容复制策略和服务策略的存储容量的函数。该分析可用于这些设计选择的系统级优化。这项工作的重点是了解允许缓存汇集其资源以提供用户请求的好处。我们表明资源池的好处取决于VOD服务所提供的内容的普及配置文件。更具体地,如果受欢迎程度在内容跨内容剧烈差异,则资源池导致中央服务器传输速率的顺序减少,因为系统大小增长。另一方面,如果内容流行度是倾斜的,则中央服务器传输速率与并且没有资源池的顺序相同。

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