GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds

no code implementations • 3 Jul 2023 • Zhang Liu, Lianfen Huang, Zhibin Gao, Manman Luo, Seyyedali Hosseinalipour, Huaiyu Dai

In this paper, we propose a graph neural network-augmented deep reinforcement learning scheme (GA-DRL) for scheduling DAG tasks over dynamic VCs.

Graph Attention Scheduling

Energy-Aware Graph Task Scheduling in Software-Defined Air-Ground Integrated Vehicular Networks

no code implementations • 3 Aug 2020 • Minghui LiWang, Zhibin Gao, Xianbin Wang

Motivated by which, we propose an efficient decoupled approach by separating the template (feasible mappings between components and vehicles) searching from the transmission power allocation.

Scheduling