CODECO is part of a new generation of containerized application tools, aiming at increasing resilience, energy efficiency, and overall performance of applications by selecting better the Edge-Cloud infrastructure where micro-services of the applications (application workload) should run. CODECO offers the following aspects:
- Automated configuration, focusing on supporting application setup and application runtime across Edge-Cloud, by taking into consideration compute, network, and data aspects, via its ACM component.
- Data as a resource. CODECO addresses, via its Metadata Manager (MDM) component data as a resource in the sense that available snapshots from the overall Edge-Cloud infrastructure, integrating different perspectives (application, user, system, data, network) at different instants of the CODECO operational workflow.
- Dynamic scheduling and workload migration. Supported by the CODECO component Scheduling and Workload Migration (SWM), CODECO brings in novel QoS models that consider data-network-compute requirements to provide a best match between applications and available infrastructure.
- Context-awareness and privacy preserving decentralised learning. With its component PDLC, CODECO relies on context-awareness to be able to achieve a joint data-network-compute orchestration, and on privacy-preserving decentralised learning and inference to best support readjustment of aspects such as the processing capability, computational resources, networking resources and interconnections in real-time.
- Infrastructure adaptation based on a cross-layer data-compute-network approach. Via the CODECO Network Management and Adaptation component (NetMA), CODECO assists in adapting not just computational (node resources) but also the networking infrastructure interconnecting such nodes, having as starting point for the exposure of metadata within 1 cluster and across federated clusters, from far Edge to Cloud.
