Hybrid Adaptive Tuning for Tiered Memory Systems
This paper presents PTMT, a hybrid offline-online framework that automates the runtime tuning of system parameters for memory tiering solutions using reinforcement learning, thereby significantly improving application performance compared to default configurations and state-of-the-art methods.