Multi-Agent Deep Reinforcement Learning-Based Fine-Grained Traffic Scheduling in Data Center Networks.
Huiting WangYazhi LiuWei LiZhigang YangPublished in: Future Internet (2024)
Keyphrases
- fine grained
- data center
- traffic engineering
- reinforcement learning
- multi agent
- coarse grained
- differentiated services
- cloud computing
- virtual machine
- cost effective
- traffic signal control
- internet traffic
- energy consumption
- access control
- power consumption
- energy efficiency
- mission critical
- network traffic
- data lineage
- network resources
- tightly coupled
- traffic flow
- information technology
- business continuity
- machine learning
- computing resources
- response time
- optimal policy