INTelligent Edge using Learning Loops & Information GEneration for NeTwork State Inference-based Automation – INTELLIGENTSIA

In the era of network softwarization, INTELLIGENTSIA objective is to fast move towards automation of end-to-end network operations by leveraging advanced learning algorithms able to scale with large-scale virtualized networks and to meet control and operations requirements of massive IoT use-cases. The envisioned scientific contributions are related to the elaboration of a dynamic state machine framework for modeling a network virtualization platform, based on clustering and classification algorithms against data sources related to traffic, device, servers and virtualized network functions and services. The learning framework is meant to discover in real-time known and unknown network states, as well as to anticipate reconfigurations of the network and in particular of novel IoT radio access functions besides device behavior and network backhauling. The expected impact includes the enhancement of network automation platforms under consideration by the industry and the design of novel IoT radio access functions.