Tao Yin

Scheduling for Green Computility via LLM-Guided Deep Reinforcement Learning

Green Computility scheduling in heterogeneous clusters requires balancing execution efficiency, deadline satisfaction, resource utilization, carbon emissions, and renewable energy usage under dynamic workload and energy conditions. Existing heuristic schedulers are efficient but often rely on fixed hand crafted rules,...