Splitting and placement of data-intensive applications with machine learning for power system in cloud computing.
Zhanyang XuDawei ZhuJinhui ChenBaohua YuPublished in: Digit. Commun. Networks (2022)
Keyphrases
- cloud computing
- power system
- machine learning
- computational intelligence
- computing resources
- data center
- cloud computing environment
- data management
- smart grid
- service providers
- distributed computing
- optimal power flow
- power generation
- business models
- big data
- transmission line
- reactive power
- active power
- cloud computing platform
- artificial intelligence
- cost effective
- neural network
- databases