ahmed-farhanur-rashid/hpa-pp-synthetic-telemetry
HPA++ Multi-Cluster Synthetic Telemetry Benchmark Suite Dataset Summary The HPA++ Multi-Cluster Synthetic Telemetry Benchmark Suite (hpa-pp-synthetic-telemetry) is a high-fidelity synthetic multivariate time-series benchmark designed for research on predictive Kubernetes Horizontal Pod Autoscaling (HPA++), cloud resource forecasting, and AIOps. The benchmark contains one year of telemetry sampled every 5 minutes across five realistic Kubernetes workload profiles… See the full description on the dataset page: https://huggingface.co/datasets/ahmed-farhanur-rashid/hpa-pp-synthetic-telemetry.
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