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Reducing the complexity of BGP stability analysis with hybrid combinatorial-algebraic models

机译:使用混合组合代数模型降低BGP稳定性分析的复杂性

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Routing stability and correctness in the Internet have long been a concern. Despite this, few theoretical frameworks have been proposed to check BGP configurations for convergence and safety. The most popular approach is based on the Stable Paths Problem (SPP) model. Unfortunately, SPP requires enumeration of all possible control-plane paths, which is infeasible in large networks. In this work, we study how to apply algebraic frameworks to the BGP configuration checking problem. We propose an extension of the Stratified Shortest Path Problem (SSPP) model that has a similar expressive power to SPP, but enables more efficient checking of configuration correctness. Our approach remains valid when BGP policies are applied to iBGP sessions - a case which is often overlooked by previous work, although common in today's Internet. While this paper focuses mainly on iBGP problems, our methodology can be extended to eBGP if operators are willing to share their local-preference configurations.
机译:长期以来,Internet中的路由稳定性和正确性一直是人们关注的问题。尽管如此,很少有人提出理论框架来检查BGP配置的收敛性和安全性。最受欢迎的方法是基于稳定路径问题(SPP)模型。不幸的是,SPP需要枚举所有可能的控制平面路径,这在大型网络中是不可行的。在这项工作中,我们研究如何将代数框架应用于BGP配置检查问题。我们提出了分层最短路径问题(SSPP)模型的扩展,该模型具有与SPP相似的表达能力,但可以更有效地检查配置正确性。当BGP策略应用于iBGP会话时,我们的方法仍然有效-尽管在当今的Internet中很常见,但以前的工作经常忽略这种情况。尽管本文主要关注iBGP问题,但如果运营商愿意共享其本地优先配置,我们的方法可以扩展到eBGP。

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