NI members role: NI members organized the second edition. Where we had almost 60 people attending the workshops sessions.
Workshop description: Network Intelligence considers the embedding of Artificial Intelligence (AI) in future networks to fasten service delivery and operations, leverage Quality of Experience (QoE) and guarantee service availability, also allowing better agility, resiliency, faster customization and security. This concept is envisioned as mandatory to manage, pilot and operate the forthcoming network built upon SDN, NFV and cloud. The main goal of the Network Intelligence Workshop is to present state-of-the-art research results and experience reports in the area of network intelligence, addressing topics such as artificial intelligence techniques and models for network and service management; smart service orchestration and delivery, dynamic Service Function Chaining, Intent and policy based management, centralized vs. distributed control of SDN/NFV based networks, analytics and big data approaches, knowledge creation and decision making. This workshop offers a timely venue for researchers and industry partners to present and discuss their latest results in Network Intelligence, and specifically “Machine Learning for Networking”. Machine learning in particular perfectly matches the complex, dynamic and time-varying nature of today’s networking systems.
General Chairs: Mérouane Debbah (CentraleSupélec, France), Baochun Li (University of Toronto), Giovanni Schembra, University of Catania, Italy, Dapeng Oliver Wu (University of Florida),
Technical Program Committee Chairs: Laura Galluccio, University of Catania, Italy, Qiuyuan Huang, Microsoft Research, Redmond, WA, USA, Yunhuai Liu, Peking University, China, Mohamed Faten Zhani, Universitè du Quebec, Canada