CODECO Cognitive Decentralised Edge Cloud Orchestration

Summary

CODECO is a cognitive, cross-layer and highly adaptive Edge-Cloud management framework with a unique orchestration approach that provides support for data management and governance decentralised data workflow; dynamic offloading of computation and computation status; and adaptive networking services (TRL5). In the core of the CODECO framework are privacy preserving decentralised learning mechanisms to i) reduce latency and power consumption from the far Edge to Cloud; ii) adjust the computation in real-time to available Edge-Cloud constraints; iii) adjust running services into the needs of the application, the data sources, the surrounding context; iv) benefit from a flexible networking infrastructure that adapts to the needs of active services; and v) democratize the technology to a faster market adoption of the toolkit, as well as products and services derived from it.

CODECO proposes the following assets: i) A1: Open, cognitive toolkits and smart Apps, integrating the elastic and advanced concepts to manage, in a smart and flexible way, containerized applications across Edge and Cloud (dynamic cluster and multi-cluster environment; ii) A2: A developer-oriented open-source software repository, to be available in an early stage of the project, thus allowing for early exploitation of initial, advanced results and a better adaptation throughout the project lifetime; iii) A3: Training tools, to support the development of services based on the CODECO framework; iv) A4: Use-cases across 4 domains (Smart Cities, Energy, Manufacturing, Smar Buildings), as the basis for experimentation and demonstrations; v) A5: Open Calls and multiple community events, based on the different use-cases and including the different CODECO stakeholders; vi) A6: CODECO integration into the large-scale EdgeNet , experimental infrastructure, to assist in the building of experimentation and novel concepts by the research community.

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More information & hyperlinks

Web resources:	https://cordis.europa.eu/project/id/101092696
Start date:	01-01-2023
End date:	31-12-2025
Total budget - Public funding:	6 060 537,50 Euro - 6 060 537,00 Euro

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Original description

CODECO is a cognitive, cross-layer and highly adaptive Edge-Cloud management framework with a unique orchestration approach that provides support for data management and governance decentralised data workflow; dynamic offloading of computation and computation status; and adaptive networking services (TRL5). In the core of the CODECO framework are privacy preserving decentralised learning mechanisms to i) reduce latency and power consumption from the far Edge to Cloud; ii) adjust the computation in real-time to available Edge-Cloud constraints; iii) adjust running services into the needs of the application, the data sources, the surrounding context; iv) benefit from a flexible networking infrastructure that adapts to the needs of active services; and v) democratize the technology to a faster market adoption of the toolkit, as well as products and services derived from it.

CODECO proposes the following assets: i) A1: Open, cognitive toolkits and smart Apps, integrating the elastic and advanced concepts to manage, in a smart and flexible way, containerized applications across Edge and Cloud (dynamic cluster and multi-cluster environment; ii) A2: A developer-oriented open-source software repository, to be available in an early stage of the project, thus allowing for early exploitation of initial, advanced results and a better adaptation throughout the project lifetime; iii) A3: Training tools, to support the development of services based on the CODECO framework; iv) A4: Use-cases across 4 domains (Smart Cities, Energy, Manufacturing, Smar Buildings), as the basis for experimentation and demonstrations; v) A5: a Research and Innovation community engagement programme, based on the different use-cases and including the different CODECO stakeholders; vi) A6: CODECO integration into the large-scale EdgeNet , experimental infrastructure, to assist in the building of experimentation and novel concepts by the research community.