Learning to Remember: Attentive Reinforcement Learning for Edge Serverless Autoscaling
Results indicate that mitigating temporal blindness through deep attentive memory improves the reliability and stability of Kubernetes autoscaling under bursty edge workloads.
Faraz Shaikh, G. Reali, M. Femminella
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