<p><strong>Eclipse KuDECO </strong>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.</p><p><strong>KuDECO </strong>focuses on the following key areas:</p><ul><li><strong>Cognitive Orchestration</strong><br>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.</li><li><strong>Decentralised Control Models</strong><br>Architectures that support distributed decision-making across Edge nodes, Cloud environments, reducing dependency on central control and enabling resilience and autonomy.</li><li><strong>Semantic Configuration and Policies</strong><br>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.</li><li><strong>Dynamic Context Awareness</strong><br>Runtime monitoring and decision support based on context data such as network conditions, resource availability, energy profiles, or user behavior.</li><li><strong>Modular and Interoperable Architecture</strong><br>A component-based design that allows integration with existing orchestration tools, model-driven engineering platforms, monitoring systems, and domain-specific knowledge bases.</li></ul>
