OpenFlow网络以数据路径为中心的虚拟化机制

R. D. Corin, E. Salvadori, M. Gerola, M. Suñé, H. Woesner
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引用次数: 18

摘要

为了实现可共享网络基础设施的愿景,采用健壮且可伸缩的网络虚拟化框架是一个关键要求。为了实现这一目标,最合适的方法之一是利用软件定义网络(SDN)和OpenFlow这一事实上的标准的新兴范例。在过去的几年里,已经提出了几个虚拟化框架,然而,它们要么是基于代理的解决方案,这引起了可伸缩性和健壮性问题(FlowVisor),要么是依赖于数据路径的简化视图(通常基于Open vSwitch实例),这在生产网络设置中几乎没有被采用的机会。本文提出了一种新的基于OpenFlow的网络虚拟化机制,该机制利用了最近一个名为可扩展数据路径守护进程(xDPd)的开源数据路径项目,所提出的多平台数据路径基于一个健壮的分布式虚拟化架构,能够在多版本OpenFlow交换网络场景中运行,从性能的角度来看开销最小,并且可以通过xDPd库轻松移植到多个硬件平台上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Datapath-Centric Virtualization Mechanism for OpenFlow Networks
The adoption of a robust and scalable network virtualization framework is a key requirement in order to make the vision of a shareable network infrastructure a reality. To this aim, one of the most suitable approaches is the one which takes advantage of the emerging paradigm of Software-Defined Networking (SDN) and OpenFlow, its de-facto standard. Several virtualization frameworks have been proposed in the last few years, however, they are either based on proxy-based solutions that raises scalability and robustness issues (FlowVisor), or they rely on a simplified view of the data path (generally based on Open vSwitch instances) that have little chances to be adopted in production network settings. This paper presents a novel OpenFlow-based network virtualization mechanism exploiting a recent open-source data path project named extensible Data path Daemon (xDPd), the proposed multi-platform data path is based on a robust distributed virtualization architecture that is able to run on multi-version OpenFlow switch network scenarios, has a minimal overhead from a performance point of view and can be easily ported on several hardware platforms via xDPd libraries.
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