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A new method for encoding MPLS segment routing TE paths

机译:MPLS段路由TE路径编码的新方法

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Segment Routing (SR) architecture has a great potential to replace the MPLS control plane. It simplifies considerably the operation and management of the MPLS networks. A Segment Routing path does not require signaling because it relays on the source routing paradigm, where the path description is directly encoded into the packet's header as a label stack. This has a direct consequence on the size of the label stack which increases linearly with the length of the path. Unfortunately, such approach runs into the routers physical limitation known as the Maximum Stack Depth (MSD), that bounds the maximum number of labels a router can push onto packets. Consequently, it prevents traffic to flow on some of the network paths, leading to underutilization of network resources. Therefore, the MSD restrains the adoption of Segment Routing as it impacts the service provider ability to perform traffic engineering. Several algorithms have been proposed to mitigate the impact of the MSD. They usually rely on an optimization of the SR paths encoding. However, none of them eliminates the impact of the MSD limitation. In this work, we propose a path segmentation approach to definitively eliminate the impact of the MSD. Accordingly, all the possible paths in the network may be considered to forward traffic. This approach is based on the introduction of a new type of Segment Identifiers (SID)s called Targeted SID (TSIDs). We detail the architectural requirements and propose an optimization algorithm to reduce the introduced overhead.
机译:段路由(SR)体系结构具有取代MPLS控制平面的巨大潜力。它大大简化了MPLS网络的操作和管理。段路由路径不需要信令,因为它在源路由范式上中继,其中路径描述直接作为标签堆栈编码到数据包的报头中。这直接影响标签堆的大小,标签堆的大小会随着路径的长度线性增加。不幸的是,这种方法遇到了路由器的物理限制,即最大堆栈深度(MSD),该限制限制了路由器可以推送到数据包上的最大标签数。因此,它阻止了流量在某些网络路径上流动,从而导致网络资源的利用不足。因此,MSD限制了分段路由的采用,因为它会影响服务提供商执行流量工程的能力。已经提出了几种算法来减轻MSD的影响。它们通常依赖于SR路径编码的优化。但是,它们都不能消除MSD限制的影响。在这项工作中,我们提出了一种路径分割方法,以最终消除MSD的影响。因此,可以将网络中所有可能的路径视为转发流量。这种方法基于引入了一种新型的段标识符(SID),称为目标SID(TSID)。我们详细介绍了架构要求,并提出了一种优化算法来减少引入的开销。

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