Skip to content
#

workload-prediction

Star

Here are 4 public repositories matching this topic...

Language: All
Filter by language
All 4 Python 2 HTML 1 Jupyter Notebook 1

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

Star 0

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

Improve this page

Add a description, image, and links to the workload-prediction topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the workload-prediction topic, visit your repo's landing page and select "manage topics."

Learn more