Pedro Henrique Sachete Garcia

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.