Accellerating digital transformation in Europe by Intelligent NETwork automation
Project Status: running
Start Date: June 2021
End Date: August 2024
Budget (total): 28.748 M€
Effort: 236.2 PY
Project-ID: C2019/3-3
Name: Arnaud Dupas
Company: Nokia
Country: France
E-mail: arnaud.dupas@nokia-bell-labs.com
Nokia Bell Labs France, France
University Rennes 1, France
VectraWave, France
Alterway, France
Gandi.net, France
Umanis, France
Telecom Paris/Institut Mines Telecom, France
INRIA (Institut National de Recherche en Informatique et en Automatique), France
CNRS Centre National de la Recherche Scientifique, France
VTT Technical Research Centre of Finland Ltd., Finland
Airbus Defence and Space Oy, Finland
F-Secure Corporation, Finland
Insta DefSec Oy, Finland
Centria University of Applied Sciences Ltd, Finland
Eficode, Finland
Xiphera, Finland
Privecomms, Finland
Goodmill Systems Ltd, Finland
Huld, Finland
Iprotoxi, Finland
Riots, Finland
Nokia, Germany
FAU (Friedrich-Alexander Universität Erlangen-Nürnberg) – IT Security Infrastructures, Germany
WIBU Systems AG, Germany
KIT/CEL, Germany
Creonic GmbH, Germany
TU Kaiserslautern, Germany
University of Stuttgart – INT, Germany
University of Stuttgart – IKR, Germany
Technische Universität München – LKN, Germany
Atesio GmbH, Germany
Fraunhofer FOKUS, Germany
Technical University Berlin, Germany
Helmut-Schmidt-University Hamburg, Germany
TWT GmbH, Germany
DFKI (Deutsches Forschungszentrum für Künstliche Intelligenz), Germany
Let’s dev GmbH & Co. KG, Germany
FARO Europe GmbH, Germany
Ruhr Universität Bochum, Germany
Abstract
Digital transformation is ongoing in many areas of today’s society, which will impact many aspects of people’s lives via means such as smart cities, robotic, transportation, and next-generation industries. At the same time, the current centralized cloud infrastructure is not adequate to serve the transformation’s requirements. We believe that three technologies can come together to shape a new secure service and application platform; 5G, edge-centric compute & artificial intelligence. In this context, European industry has a good position in 5G networks, transportation and industrial applications, but need to strengthen the position in a secure cloud, data centre and artificial intelligence technologies to be at the front of the development.
The primary objective of the AINET project is to provide enablers and solutions for high-performance services deployed and operated at the network edge. To manage complexity, we need to take advantage of artificial intelligence to complement traditional optimisation algorithms. Currently, deep edge network nodes will be deployed at locations not prepared for the power requirements of edge-centric compute. To answer this, we need to analyse requirements and develop methods to minimize energy consumption.
