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In our talk, we present a practical use-case within the 8RA (https://www.8ra.com/) program, the IPCEI covering Cloud and Infrastructure Services (CIS), built on top open-source software. Our use-case exploits both ML and GenAI to support scenarios within Multi-Provider Cloud Edge Continuum, cloud infrastructure federation, automated service request and allocation of applications to edge sites properly selected. We design an architecture whose core is a set of AI agents, which collaborate to accomplish different tasks, ranging from application deployment file generation up to site prediction for application deployment, according to service requests taken as input by users in natural language. Specifically, our architecture currently includes several agents: LANE (Language-to-Action Neural Engine), responsible for processing user requests expressed in natural Language; Placement, providing the optimal edge site recommendation for each application, ensuring maximum energy efficiency once deployed. It leverages an AI-driven approach to predict energy consumption and optimize resource allocation, improving the sustainability of cloud services.
