SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses
Summary: SafeLoad: admission-control system to predict memory-overloading (MO) queries via an interpretable discriminative filter plus hybrid global/cluster models and a misprediction-correction stage. With SafeBench (150M queries) and self-tuning per-cluster quotas, it achieves up to 66% higher precision and up to 8.09x reduction in CPU waste with low overhead. (summarized by gpt-5-mini on Mar 13 2026)
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Authors
- 1. Yifan Wu
- 2. Yuhan Li
- 3. Zhenhua Wang
- 4. Zhongle Xie
- 5. Dingyu Yang
- 6. Ke Chen
- 7. Lidan Shou
- 8. Bo Tang
- 9. Liang Lin
- 10. Huan Li
- 11. Gang Chen
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 167 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00039180521 |
| 1,019 | Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques | 2012 | VLDB | 0.00014625603 |
| 1,284 | Amazon Redshift Re-invented | 2022 | SIGMOD | 0.00012837822 |
| 3,152 | AnalyticDB: Real-time OLAP Database System at Alibaba Cloud | 2019 | VLDB | 7.4711766e-05 |
| 4,593 | Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift | 2023 | SIGMOD | 6.0606891e-05 |
| 5,832 | Stage: Query Execution Time Prediction in Amazon Redshift | 2024 | SIGMOD | 5.3111109e-05 |
| 6,685 | How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks | 2025 | SIGMOD | 4.9627485e-05 |
| 8,046 | Bouncer: Admission Control with Response Time Objectives for Low-latency Online Data Systems | 2024 | SIGMOD | 4.598406e-05 |
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