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ICN with edge for 5G: Exploiting in-network caching in ICN-based edge computing for 5G networks

机译:具有5G的边缘的ICN:在基于ICN的边缘计算中利用网络中的网络缓存,用于5G网络

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摘要

In recent years, edge computing and Information Centric Networking (ICN) have been introduced as emerging technologies for distributing content closer to the end users. The former promises to increase the performance of several applications by using data locality and relieve the core network by addressing the increasing bandwidth demands caused by increased data volume. The latter makes the content directly addressable and routable in the network. Enabling ICN with edge computing in Radio Access Network (RAN) can improve the efficiency of content distribution and communication performance by reducing the distance between users and services. In line with this assertion, in this paper, we propose an ICN-capable RAN architecture for 5G edge computing environments that offers device to device communication and ICN application layer support at base stations. Moreover, ICN and edge caching is only useful for static content-requests for dynamic content have to traverse the core network increasing the latency in 5G networks. To address this issue, we provide a content prefetching strategy based on ICN naming. Experimental results show that our proposed scheme results in high cache hit ratios and lower delays compared to conventional edge systems and prior work on ICN for 5G.
机译:近年来,已引入边缘计算和信息中心网络(ICN)作为用于将内容更接近最终用户的内容的新兴技术。前者承诺通过使用数据局部性来提高多个应用程序的性能,通过解决增加的数据量引起的增加的带宽需求来缓解核心网络。后者使内容直接可寻址和在网络中路由。通过在无线电接入网络(RAN)中具有边缘计算的ICN可以通过减少用户和服务之间的距离来提高内容分布和通信性能的效率。符合此文件的,在本文中,我们提出了一种用于5G边沿计算环境的ICN的RAN架构,可在基站提供设备通信和ICN应用层支持。此外,ICN和边缘缓存仅适用于动态内容的静态内容请求必须遍历核心网络,从而增加了5G网络中的延迟。要解决此问题,我们提供基于ICN命名的内容预取策略。实验结果表明,与传统边缘系统相比,我们所提出的方案导致高高的高速缓存命中比和较低的延迟,并在ICN上进行5G。

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