Conference
Aug 2026
Deep Reinforcement Learning-Based Adaptive Resource Scheduling for Modern Operating Systems
With the rapid growth of cloud computing and data-intensive applications, traditional operating system resource scheduling mechanisms face significant challenges in handling dynamic workloads while meeting multiple quality-of-service (QoS) objectives. This paper proposes a deep reinforcement learning (DRL) based adapti...
Li-Li Pan, Yuan-Yuan Liu, Jia-Liang Huo et al.
· 2026 6th International Confe... · 0 citations