Mix-flow scheduling using deep reinforcement learning for software-defined data-center networks.
Wai-Xi LiuJun CaiYu WangQing Chun ChenDong TangPublished in: Internet Technol. Lett. (2019)
Keyphrases
- information technology
- data center
- reinforcement learning
- traffic engineering
- cloud computing
- differentiated services
- virtual machine
- energy efficiency
- power consumption
- cost effective
- internet services
- energy consumption
- scheduling problem
- resource allocation
- carbon dioxide
- software development
- state space
- learning algorithm
- user interface
- mission critical
- power management
- database systems
- social networks
- database
- software systems
- data access
- computing resources