F. D. Rossi

Event-Driven Neuromorphic-Inspired Task Offloading for Energy-Efficient Edge-IoT Systems

Energy-Aware Digital Twin Allocation with LLMs for Adaptive Resource Management in Cloud-Native Infrastructures

This work proposes an adaptive resource allocation framework that leverages Digital Twins for real-time system monitoring and integrates Large Language Models to support context-aware decision-making under multi-objective constraints, enabling intelligent workload orchestration across heterogeneous data center environments.

Agentic-Defined Networking (ADN): A Vision, Architectural Elements, and Future Directions

The study provides initial evidence of feasibility while identifying the challenges that must be addressed before production deployment and formalize the ADN agent model and workflow and define an operational framework covering communication, lifecycle management, governance, and security.