ACES; Autopoietic Cognitive Edge-cloud Services
The amount and capabilities of connected edge devices are growing, and with them the amount of data exchanged. This growth increases the need for cloud services at the edge (e.g. edge services). Implementing these edge services makes it more challenging for cloud computing architectures at the edge, especially in terms of reliability, security, and AI transparency.
ACES aims to develop an intelligent edge-to-cloud framework, capable of managing itself in terms of workload placement, service and resource management, as well as data and policy management, thanks to AI modules.
This framework will be tested by three use cases related to the Greek energy grid, which will demonstrate how the framework can increase efficiency and reduce impact on the environment. The use cases will demand a system which can support highly decentralised computing, deliver the ability to take autonomous decisions, and also reduce the cost of edge-to–cloud management.
Project website
Duration
1 January 2023 to 31 December 2025.
ACES Consortium
A consortium of 19 companies will collaborate on developing the distributed edge technology and service-delivery features.
- INESC-ID: Instituto de Engenharia de Sistemas e Computadores, Investigaçao e Desenvolvimento em Lisboa
- Hiro MicroDataCenters B.V.
- Technische Universität Darmstadt
- Lakeside labs GmbH
- Univerza V Ljubljani
- Universidad Politecnica de Madrid
- Martel GmbH
- Scuola Universitaria Professionale della Svizzera Italiana
- Independent Power Transmission Operator SA
- DataPower srl
- SixSq SA
Funding
The project is funded through from the European Union’s HORIZON EUROPE research and innovation programme under grant agreement No 101093126. SixSq is funded by SEFRI under contract number 22.00532.
