Provable data plane connectivity with local fast failover: introducing openflow graph algorithms

Michael Borokhovich, Liron Schiff, S. Schmid
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引用次数: 96

Abstract

Modern software-defined networks support the implementation of in-network failover mechanisms: mechanisms to quickly re-establish connectivity in the data plane without the interaction of the software controller. Interestingly, however, not much is known today about how to make use of these mechanisms. This paper shows a very strong result: there exist failover implementations for OpenFlow that achieve a maximal robustness, in the sense that connectivity is always ensured as long as the underlying physical network is connected. In particular, we show that the problem of computing failover tables is related to graph search, and present three different algorithms achieving different tradeoffs, in terms of the number of required failover rules, the number of tags, as well as the resulting path lengths. Our work can also be seen as a first attempt to implement classic graph algorithms in OpenFlow.
可证明的数据平面连接与本地快速故障转移:引入开放流图算法
现代软件定义的网络支持网络内故障转移机制的实现:无需软件控制器交互即可在数据平面上快速重新建立连接的机制。然而,有趣的是,今天我们对如何利用这些机制知之甚少。本文给出了一个非常有力的结果:存在OpenFlow的故障转移实现,实现了最大的鲁棒性,也就是说,只要底层物理网络连接,连接性总是得到保证。特别地,我们展示了计算故障转移表的问题与图搜索有关,并提出了三种不同的算法,在所需的故障转移规则的数量、标签的数量以及产生的路径长度方面实现了不同的权衡。我们的工作也可以看作是在OpenFlow中实现经典图形算法的第一次尝试。
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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