LLM-Based Algorithm Selection For Network Optimization and Orchestration
Dalgkitsis, Anestis · Zenodo (CERN European Organization for Nuclear Research) · 2025
A modular LLM-based framework that uses contextual reasoning to dynamically select the most suitable optimization algorithm for real-time network orchestration. It addresses scaling challenges, reduces manual decision-making, and improves SLA-aware service partitioning across distributed infrastructures. Presented live at the SC25 Conference INDIS Workshop.