Announcing Native BM25 Ranking in AlloyDB and Cloud SQL
cloud.google.com·1d ago
AI Research
arXiv CS.AI·Jun 12·5 min read
CloudCons: A Comprehensive End-to-End Benchmark for Cloud Resource Consolidation
TL;DR
Cloud data centers often suffer from low resource utilization due to over-provisioning for reliability. CloudCons is a new benchmark designed to evaluate forecasting models specifically for cloud resource consolidation.
✦ Why It Matters
Engineers can leverage CloudCons to better evaluate and implement forecasting models for efficient cloud resource management.
Key Takeaways
- Utilize CloudCons to benchmark your forecasting models.
- Focus on predictive quantiles to improve decision-making.
- Assess the practical utility of your models beyond accuracy.
- Explore diverse datasets from major cloud providers for better insights.
How It Works
CloudCons evaluates forecasting models by using datasets that reflect real-world cloud workloads, including patterns like daily cycles and sudden demand spikes. It emphasizes the need for models to not only predict accurately but also to inform effective resource allocation decisions.