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Integrated network coding and caching in information-centric networks: revisiting pervasive caching in the ICN framework

机译:以信息为中心的网络中的集成网络编码和缓存:重新审视ICN框架中的普遍缓存

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Information-centric networks (ICNs) replace IP addresses with content names at the thin waist of the Internet hourglass, thereby enabling pervasive router-level caching at the network layer. In this paper, we revisit pervasive content caching and propose an algorithm for cache replacement at ICN routers by incorporating principles from network coding, a technique used to achieve maximum flow rates in multicast. By introducing a low computational cost in the system, network-coded caching better utilizes the available small storage space at the routers to cache more effectively in the network. Results of our experiments on the global enterprise for network innovations (GENI) testbed demonstrating the performance of our algorithm on a real network are included in the paper. We evaluate the algorithm in two different traffic scenarios (i) video-on-demand (VoD) (ii) Zipf-based web traffic. Working with the named data networking implementation of ICN, we also present the additional headers and logical components that are needed to enable network-coded caching. In a nutshell, we show that an integrated coding-and-caching strategy can provide significant gains in latency and content delivery rate for a small computational overhead.
机译:以信息为中心的网络(ICN)在Internet沙漏的细腰处用内容名称替换IP地址,从而在网络层实现普遍的路由器级缓存。在本文中,我们将重新研究普遍的内容缓存,并提出一种结合网络编码原理的,用于在ICN路由器上替换缓存的算法,该技术用于在组播中实现最大流量。通过在系统中引入较低的计算成本,网络编码缓存可以更好地利用路由器上可用的较小存储空间,以更有效地在网络中缓存。本文包含了我们在全球网络创新企业(GENI)测试平台上进行的实验结果,这些实验证明了我们的算法在真实网络上的性能。我们在两种不同的流量情况下评估该算法(i)视频点播(VoD)(ii)基于Zipf的网络流量。与ICN的命名数据网络实现一起工作,我们还介绍了启用网络编码缓存所需的其他标头和逻辑组件。简而言之,我们证明了集成的编码和缓存策略可以在较小的计算开销下,显着提高延迟和内容交付率。

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