Predictive Traffic Engineering with 2-Segment Routing Considering Requirements of a Carrier IP Network

Segment Routing (SR) can be used as a traffic engineering strategy to counteract increasing loads on networks like Internet Service Provider (ISP) backbones. Many SR approaches, however, optimize traffic flows that were measured in the past. This paper introduces a new tunnel training architecture. It aims to show that the results of these strategies can still be beneficial for routing new traffic flows using the tunnel training architecture. We evaluate the selection of different matrices for training, as well as the choice of different tunnel selection heuristics. The results show that optimization results tend to be beneficial even for traffic matrices that were not known during the optimization. Classifying the quality of SR tunnels, though, proves to be difficult and trace dependent.