An energy-aware scheduling algorithm for budget-constrained scientific workflows based on multi-objective reinforcement learning.
Yao QinHua WangShanwen YiXiaole LiLinbo ZhaiPublished in: J. Supercomput. (2020)
Keyphrases
- scheduling algorithm
- energy aware
- multi objective
- scientific workflows
- reinforcement learning
- response time
- wireless sensor networks
- routing protocol
- high performance computing
- energy consumption
- smart home
- sensor networks
- data center
- service oriented
- energy efficiency
- scientific data
- routing algorithm
- semantic annotation
- web services
- database
- massively parallel
- workflow systems
- file system
- sensor nodes
- machine learning