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Consistent updates in software defined networks: On dependencies, loop freedom, and blackholes

机译:软件定义网络中的一致更新:关于依赖关系,循环自由度和黑洞

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We consider the problem of finding efficient methods to update forwarding rules in Software Defined Networks (SDNs). While the original and updated set of rules might both be consistent, disseminating the rule updates is an inherently asynchronous process, resulting in potentially inconsistent states. We highlight the inherent trade-off between the strength of the consistency property and the dependencies it imposes among rule updates at different switches; these dependencies fundamentally limit how quickly the SDN can be updated. Additionally, we consider the impact of resource constraints and show that fast blackhole free migration of rules with memory limits is NP-hard for the controller. For the basic consistency property of loop freedom, we prove that maximizing the number of loop free update rules is NP-hard for interval-based routing and longest-prefix matching. We also consider the basic case of just one destination in the network and show that the greedy approach can be nearly arbitrarily bad. However, minimizing the number of not updated rules can be approximated well for destination-based routing. For applying all updates, we develop an update algorithm that has a provably minimal dependency structure. We also sketch a general architecture for consistent updates that separates the twin concerns of consistency and efficiency, and lastly, evaluate our algorithm on ISP topologies.
机译:我们考虑在软件定义网络(SDN)中寻找有效的方法来更新转发规则的问题。尽管原始规则集和更新后的规则集可能是一致的,但散布规则更新是一个固有的异步过程,从而导致潜在的不一致状态。我们强调一致性属性的强度与其在不同开关的规则更新之间强加的依赖性之间的内在平衡。这些依赖性从根本上限制了SDN更新的速度。此外,我们考虑了资源限制的影响,并表明具有内存限制的规则的快速无黑洞迁移对控制器来说是NP-难的。对于循环自由的基本一致性属性,我们证明了最大化无循环更新规则的数量对于基于间隔的路由和最长前缀匹配而言是NP-难的。我们还考虑了网络中只有一个目的地的基本情况,并表明贪婪方法几乎是任意坏的。但是,对于基于目标的路由,将未更新规则的数量最小化可以很好地近似。为了应用所有更新,我们开发了一种更新算法,该算法具有可证明的最小依赖性结构。我们还概述了用于一致性更新的通用体系结构,该体系结构将一致性和效率的双重问题分开,最后,在ISP拓扑上评估了我们的算法。

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