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The computation power of SDN controllers fosters the development of a newgeneration of control plane that uses compute-intensive operations to automateand optimize the network configuration across layers. From now on, cutting-edgeoptimization and machine learning algorithms can be used to control networks inreal-time. This formidable opportunity transforms the way routing systemsshould be conceived and designed. This paper presents a candidate architecturefor the next generation of routing platforms built on three main pillars foradmission control, re-routing and monitoring that would have not been possiblein legacy control planes.

Online and Global Network Optimization: Towards the Next-Generation of Routing Platforms