Multi-resource interleaving for task scheduling in cloud-edge system by deep reinforcement learning.
Xinglong PeiPenghao SunYuxiang HuDan LiLe TianZiyong LiPublished in: Future Gener. Comput. Syst. (2024)
Keyphrases
- cloud computing environment
- reinforcement learning
- cloud computing
- resource management
- load balancing
- function approximation
- web resources
- virtual machine
- grid environment
- edge information
- scheduling algorithm
- robotic control
- data sets
- reinforcement learning algorithms
- model free
- computing systems
- markov decision processes
- edge detection
- state space
- dynamic programming
- machine learning
- weighted graph
- information resources
- edge detector
- computing resources
- resource allocation
- multiple scales
- learning agents