A Traffic Prediction assisted Routing Algorithm for Elastic Optical Networks

Elastic optical networks (EONs) are expected to cover the huge bandwidth demands, which will arise in the coming years from both the applications’ evolution and the implementation of 5G and Internet of Things technologies. Harvesting the flexibility offered by EONs in the management of resources, poses challenges for the research community in terms of creating mechanisms that will maximize their efficiency. One of the main research fields in this direction is the prediction of the traffic in the backbone networks and the utilization of this information for efficient resource management. In this work, we present a traffic prediction assisted routing algorithm for elastic optical networks, which improves their overall performance. Detailed simulation scenarios confirm the effectiveness of the proposed routing algorithm, which improves the network blocking probability in comparison to related algorithms from the literature.