Leveraging Deep Learning To Achieve Knowledge-Based Autonomous Service Provisioning In Broker-Based Multi-Domain Sd-Eons With Proactive And Intelligent Predictions Of Multi-Domain Traffic

This paper demonstrates a knowledge-based autonomous service provisioning framework for multi-domain SD-EONs supported by a broker plane equipped with a deep-learning based traffic estimator. Simulation results show that the proposed framework achieves similar to 91% traffic prediction accuracy and similar to 9x blocking reduction compared to conventional solutions.