Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments.
Zhiyu WangMohammad GoudarziMingming GongRajkumar BuyyaPublished in: Future Gener. Comput. Syst. (2024)
Keyphrases
- computing environments
- response time
- scheduling algorithm
- reinforcement learning
- scheduling policies
- server load
- computational grids
- state space
- function approximation
- single image
- edge detection
- prefetching
- load balancing
- mobile computing
- scheduling problem
- grid computing
- mobile agents
- service discovery
- low bandwidth
- resource allocation
- optimal policy
- mobile environments
- pervasive computing environments
- grid environment
- learning algorithm
- round robin
- high performance computing
- query execution
- markov decision processes
- quality of service
- load balancing strategies
- load balancing strategy
- distributed computing environment
- weather conditions
- trusted computing
- artificial intelligence