Objective 1: Deliver an open AI-ready, agent-based framework for holistic, trustworthy, scalable, and adaptive system operation across the heterogeneous cloud-edge continuum.
Objective 2: Develop an AI architecture supporting explainable, efficiently retrainable ML models for end-to-end autonomic system operation in the cloud-edge continuum.
Objective 3: Enable efficient, flexible, and isolated execution across the heterogeneous continuum.
Objective 4: Support green, resource-efficient, and trustworthy system operation, while satisfying application QoS/QoE requirements.
Objective 5: Realistic model training, validation, and evaluation.