Tag
A benchmark study finding that a calibrated rule-based autoscaler beats six mainstream deep RL algorithms on cost across all tested workloads, with RL only showing benefits on bursty patterns at higher cost. The paper introduces RLScale-Bench to improve evaluation protocol and reproducibility.