CODECO

The overall aim of CODECO is to contribute to smoother and more flexible support of services across the edge-cloud continuum via the creation of a novel, cognitive edge-cloud management framework. CODECO will implement software toolkits suitable for smarter management of highly-distributed environments based on heterogeneous networks and by integrating mobile, resource-constrained devices. The CODECO components will extend the management and orchestration of edge-cloud services with cognitive cross-layer adaptability and with features that allow for intelligent decisions regarding computational offloading and network adaptation while taking into consideration application and networking requirements, data security and sensitivity, as well as other context-specific aspects related to the data flow.

CODECO aims to provide support for the next generation of smart services, focusing on dense deployments in B5G/6G services. CODECO considers multiple use cases across different vertical domains (smart cities, manufacturing, energy and smart facilities) involving mobile, far-edge devices and addresses the IoT-edge-cloud orchestration based on a cross-layer approach that envisions data, compute, and network adaptation.

The CODECO consortium, coordinated by fortiss (Rute C. Sofia), comprises a total of 16 partners within the EU, as well as Israel and Switzerland. The partners represent a variety of organizations, ranging from SMEs with a focus on open-source software and innovation management (Inova Mais, Eclipse Foundation, Almende), renowned universities (University of Gottingen, Universidad Politecnica de Madrid, University of Piraeus Research Center) and research institutes (fortiss, I2CAT, Athena), to large companies (ATOS, Telefonica, Siemens, Intracom-Telecom, RedHat, Netsoft-Intrasoft, IBM).

Key research contributions:

• Automated configuration and cognitive edge-cloud management, taking into account cross-layer behavior (application to the network), data and meta-data management, and policy enforcement
• Data privacy-based decentralized learning and context-awareness, addressed in a cross-layer manner, and focusing on federated learning methods that are better suited to the orchestration of data/workflow/computation operations and networking.
• Dynamic scheduling and workload migration. Addresses challenges derived from the higher degree of automation due to container and workload mobility between nodes in a single cluster and across different clusters.
• Joint orchestration of computational and networking resources. On the one hand, the networking infrastructure needs to become more flexible, intent- and context-driven, i.e., the network should be viewed and processed as a single system. On the other hand, joint computational and networking paradigms, that by design integrate aspects such as security/trustworthiness, mobility support, decentralized and flexible naming spaces, are key to building a smart, decentralized edge ecosystem.
• Global view of data in the IoT-edge-cloud continuum. Where are datasets stored, what are their characteristics, and what constraints limit how data can be processed and replicated? To achieve this, CODECO will collect and manage metadata (data that provides information about other data) and make it available to the orchestration and other system components.

Horizon Europe CODECO is funded by the European Union under Grant Agreement No. 101092696

01.01.2023 - 31.12.2025