MLSysOps developed an AI-driven framework for autonomic end-to-end system management and application deployment across the cloud-edge continuum, leveraging a hierarchical agent-based architecture and continual ML-based adaptation. It enabled energy-efficient, resilient, and secure operation over heterogeneous infrastructures through portable container technologies, explainable AI, and cross-layer orchestration, validated in smart city and smart agriculture testbeds.
NUBIS contribution: As WP3 leader, NUBIS orchestrated the development of efficient mechanisms for optimizing application execution, resource utilization and energy consumption across the whole continuum.
