Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach.
Siyue ZhangMinrui XuWei Yang Bryan LimDusit NiyatoPublished in: GLOBECOM (2023)
Keyphrases
- data center
- multi agent reinforcement learning
- cost effective
- multi agent
- cloud computing
- distributed control
- cooperative
- virtual machine
- energy consumption
- power consumption
- carbon dioxide
- multi agent systems
- learning agents
- resource allocation
- scheduling algorithm
- reinforcement learning
- peer to peer
- response time
- data management
- low cost
- dynamic programming
- electrical energy