SOURCE-LINKED INTELLIGENCE

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

CORDIS · observation · Publication date unknown

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 comm

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recordType

award

status

TERMINATED

region

EU

value

195914.88

unit

EUR