Node-Oriented Traffic Prediction and Scheduling Based on Graph Convolutional Network in Metro Optical Networks

This paper proposes a node-oriented traffic prediction and scheduling in elastic metro optical networks by introducing the graph convolution network. Simulation results show the proposed scheme achieves efficient resource utilization with an accurate traffic prediction.