Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach.
Siyue ZhangMinrui XuWei Yang Bryan LimDusit NiyatoPublished in: CoRR (2023)
Keyphrases
- data center
- multi agent reinforcement learning
- multi agent
- cost effective
- cloud computing
- distributed control
- virtual machine
- cooperative
- power consumption
- multi tenant
- multi agent learning
- energy consumption
- learning agents
- carbon dioxide
- peer to peer
- reinforcement learning
- decision problems
- multi agent systems
- stochastic games
- resource allocation
- multiagent systems
- incomplete information
- expert systems
- scheduling algorithm
- artificial intelligence
- learning algorithm
- databases