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ml-driven-auto-scaling

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karastoyanov / ML-Driven-Auto-Scaling-Policies-for-Microservices-in-Cloud-Environments

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Experimental pipeline for a simulation-based comparison of ML-driven auto-scaling policies (LSTM and Random Forest) against Kubernetes HPA, using the Alibaba Cluster Trace 2018 dataset. Published at UTP Student and Doctoral Scientific Session 2026.

kubernetes microservices random-forest lstm cloud-computing auto-scaling sla container-orchestration hpa workload-prediction ml-driven-auto-scaling
  • Updated Jun 6, 2026
  • Python

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