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Light-weight, emissions aware, simulation and orchestration of Edge Computing and Edge Intelligence

Project description

Emissions-aware simulation for edge computing and edge intelligence

The global energy consumption of digital technologies is growing at a rate of 9 % annually, posing a challenge to the EU Green Deal's goal of reducing greenhouse gas emissions by 55 % by 2030. The increased adoption of edge intelligence (EI), edge computing (EC) and internet of things devices contributes to this energy consumption and greenhouse gas emissions. Presently, EC and EI lack emissions-aware simulation and orchestration solutions. The EU-funded LIGHTAIDGE project aims to bridge the gap between high-performance computing and EC communities. The project will develop a fast, scalable and innovative CO2 emissions-aware simulation framework for EC and lightweight EI orchestrators for low-CO2 EI model training.

Objective

The annual growth of the global energy consumption of digital technologies is 9%, hindering the EU Green Deal objective of
reducing 55% greenhouse gas (GHG) emission reduction by 2030. With the ever-increasing deployment of Internet of Things (IoT) devices, Edge Computing (EC), and more specifically Edge Intelligence (EI) which seeks to exploit these IoT (Edge) devices to process Artificial Intelligence algorithms has risen as a technology with booming demand potential, but which can also negatively contribute to the global energy consumption and GHG emissions of digital technologies.
Regarding EC and EI, emissions-aware (in CO2 equivalent) simulation and orchestration solutions are still under-explored.
The LIGHTAIDGE project therefore focuses on light-weight, CO2 emissions-aware EI simulation and orchestration. It proposes significant advances by (i) creating a bridge between High-Performance Computing (HPC) and EC communities through the development of a novel, fast and scalable, CO2 emissions aware simulation framework for EC, and (ii) by producing light-weight, CO2 emissions aware Edge Intelligence orchestrators for low-CO2 EI model training.
Foreseen impacts are, at scientific level: the project will establish a bridge between HPC and EC/EI scientific communities, and will pave the path to future, CO2 emissions aware EC and EI research. At technological, economical and societal levels: the project will reduce R&D costs by enabling an economically viable EC and EI prototyping through simulations, will help to drive EI companies in the climate transition by reducing the EI's CO2 emissions through better orchestration, and will contribute to reduce the CO2 emissions due to digital
technologies, participating in the European Union Green Deal's objective. The project also proposes training, transfer of knowledge,
and dissemination/communication activities for the researcher, constituting a solid path to develop his skills and experience.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2022-PF-01

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Coordinator

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
Net EU contribution
€ 195 914,88
Address
DOMAINE DE VOLUCEAU ROCQUENCOURT
78153 Le Chesnay Cedex
France
Region
Ile-de-France Ile-de-France Yvelines
Activity type
Research Organisations
Links
Total cost
No data