Towards Sustainability-Aware Edge Computing Systems: A Heterogeneous MADRL Approach
This paper investigates distributed edge computing systems powered by hybrid energy sources, where they jointly consider energy consumption from computation, cooling, and power source switching, and proposes an end-to-end solution based on heterogeneous cooperative multi-agent deep reinforcement learning.
Member Ieee Tarik Taleb Senior Member Ieee Yan Chen, Qize Guo, Ignacio Lacalle ´Ubeda et al.
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