Data-intensive workflow scheduling strategy based on deep reinforcement learning in multi-clouds.
Shuo ZhangZhuofeng ZhaoChen LiuShenghui QinPublished in: J. Cloud Comput. (2023)
Keyphrases
- data intensive
- scheduling strategy
- grid computing
- reinforcement learning
- web services
- data management
- distributed computing
- computing resources
- load balancing
- big data
- scheduling algorithm
- globally distributed
- data access
- cloud computing
- peer to peer
- resource management
- earth science
- machine learning
- databases
- digital libraries
- multi agent
- round robin
- database systems