A coordinated multi-agent autoscaling scheme with workload prediction is claimed to outperform prior controllers, but the method and evaluation are underspecified to the point that the claim cannot be verified.
Autoscale: Energy efficiency optimization for stochastic edge inference using reinforcement learning,
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Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling
A coordinated multi-agent autoscaling scheme with workload prediction is claimed to outperform prior controllers, but the method and evaluation are underspecified to the point that the claim cannot be verified.