Energy-aware task scheduling optimization with deep reinforcement learning for large-scale heterogeneous systems.
Jingbo LiXingjun ZhangZheng WeiJia WeiZeyu JiPublished in: CCF Trans. High Perform. Comput. (2021)
Keyphrases
- energy aware
- heterogeneous systems
- reinforcement learning
- high performance computing
- wireless sensor networks
- energy consumption
- computing systems
- routing protocol
- smart home
- data center
- sensor networks
- routing algorithm
- distributed architecture
- parallel architectures
- software development
- parallel computing
- software engineering
- data streams
- databases
- intelligent systems
- data transmission
- massively parallel
- grid environment
- legacy systems
- web services