Elastic Gigabit NDN Forwarder for Big Data Applications

Junior Dongo, C. Mahmoudi, F. Mourlin
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引用次数: 1

Abstract

Information Centric Networking is more and more used today. Named Data Networking (NDN) is one implementation of such paradigm focusing the communication on the information instead of the hosts. The performance of the NDN forwarder - called Name Forwarder Daemon (NFD) - is one major challenge faced by the NDN community especially due to the complex structures of both the naming prefixes and the forwarding tables. High-performance NFD is a major requirement to enable Big Data processing over NDN due to the scale of the exchanges used in real life applications. This paper proposes an approach to overcome the actual limitation of the packets processing capability of the NFD. The proposed approach uses state-of-the-art virtualization techniques to distribute the processing among several NFD instances to build an elastic NFD. The proposed forwarder architecture challenges the status quo in term of applicability of NFD for high-speed Big Data transfers that we demonstrate with experiments using our proof-of-concept implementation.
大数据应用的弹性千兆NDN转发器
以信息为中心的网络在当今得到越来越多的应用。命名数据网络(NDN)是这种模式的一种实现,它将通信重点放在信息而不是主机上。由于命名前缀和转发表的复杂结构,NDN转发器(称为名称转发器守护进程(NFD))的性能是NDN社区面临的一个主要挑战。由于实际应用中使用的交换规模很大,高性能的NFD是通过NDN实现大数据处理的主要要求。本文提出了一种克服NFD报文处理能力实际限制的方法。所建议的方法使用最先进的虚拟化技术将处理分布在几个NFD实例之间,以构建弹性NFD。在NFD对高速大数据传输的适用性方面,我们提出的转发架构挑战了现状,我们使用我们的概念验证实现进行了实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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