Multi-resource interleaving for task scheduling in cloud-edge system by deep reinforcement learning

X Pei, P Sun, Y Hu, D Li, L Tian, Z Li - Future Generation Computer Systems, 2024 - Elsevier
Collaborative cloud–edge computing has been systematically developed to balance the
efficiency and cost of computing tasks for many emerging technologies. To improve the …

Real-time scheduling of power grid digital twin tasks in cloud via deep reinforcement learning

D Qi, X Xi, Y Tang, Y Zheng, Z Guo - Journal of Cloud Computing, 2024 - Springer
As energy demand continues to grow, it is crucial to integrate advanced technologies into
power grids for better reliability and efficiency. Digital Twin (DT) technology plays a key role …