GREENEDGE - Taming the environmental impact of Mobile Networks through GREEN EDGE computing platforms

Ico_CTTC
Start: 01/03/2021
End: 28/02/2025
Funding: European
Status: On going
Research unit:
Geomatics (GM)
Acronym: GREENEDGE
Code: 953775

Greenedge (EU project no. 953775) is an MSCA Innovative Training Network funded by the European Commission under the H2020 research and innovation program.

In a nutshell, mobile communications have pervaded our everyday lives, deeply affecting the way in which we work, travel and spend our free time. That is, our connected society generates a vast amount of data, that has to be transmitted, processed and analysed, often in an online fashion. Such data surge demands a massive use of computing services based on artificial intelligence (AI) and machine learning (ML) algorithms. With the advent of 5G networks, these algorithms will be increasingly pushed towards the network edge and, at a global scale, they will have a large, unsustainable, carbon footprint.

The Greenedge project’s mission is to tame the growing carbon footprint of ML/AI based edge computing services by exploiting renewable energy resources and conceiving novel and green-by-design machine learning algorithms to be used within edge mobile networks.

15 PhD researchers will trained and supervised by leading experts to tackle this challenge.

Paolo Dini
PI/Project Leader
Marco Miozzo
Researcher
Sandra Lagén
Researcher
Eduard Angelats
Researcher
WORLDSENSING, S.L.
Coordinator
UPC-UNIVERSITAT POLITÈCNICA DE CATALUNYA
WORLDSENSING, S.L.
KU LEUVEN DEPT. ESAT - STADIUS
Imperial College London
Telenor ASA
Nokia Bell Labs France (NBLF)
University of Oulu
Leti (cea tech)
List (cea tech)
Toshiba
Università Degli Studi di Padova
Carnegie Mellon University
Purdue University
Telecom SudParis
Universitat Oberta de Catalunya
University of Pennsylvania
Acisa
Italtel
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