cloud-edge-end-computing

This paper proposes PPO-STGNN, a reinforcement learning algorithm that combines proximal policy optimization with spatio-temporal graph neural networks to optimize DAG task scheduling in heterogeneous cloud-edge-end environments, improving load balancing and reducing completion time.