Eclipse KuDECO provides an open, extensible platform for the intelligent orchestration of distributed systems across edge and cloud infrastructures. Its primary goal is to enable cognitive, decentralized decision-making for deploying, configuring, and adapting services in highly dynamic and heterogeneous environments.
KuDECO focuses on the following key areas:
- Cognitive Orchestration
Decentralised AI techniques that apply reasoning, learning, and knowledge-based inference to automate orchestration tasks, including containerized application placement recommendations to the scheduler, scaling, and reconfiguration/migration. - Decentralised Control Models
Architectures that support distributed decision-making across Edge nodes, Cloud environments, reducing dependency on central control and enabling resilience and autonomy. - Semantic Configuration and Policies
Formal representations (rule based, application-centric) to describe system goals, resource capabilities, context conditions, and deployment policies, enabling adaptive orchestration based on semantic reasoning of applications and resource constrains. - Dynamic Context Awareness
Runtime monitoring and decision support based on context data such as network conditions, resource availability, energy profiles, or user behavior. - Modular and Interoperable Architecture
A component-based design that allows integration with existing orchestration tools, model-driven engineering platforms, monitoring systems, and domain-specific knowledge bases.
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| Name | Date |
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| Creation Review | 2025-12-03 |