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Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques

Summary: Operator-specific statistical models with per-operator features and explicit asymptotic behavior. Integrates DB query processing knowledge with statistical techniques to achieve robust, plan-agnostic resource estimates transferable to arbitrary plans; validated on real-life and benchmark workloads on Microsoft SQL Server. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10390
Venue
VLDB
Year
2012
Pagerank
0.00014625603
Overall Rank
1,019 | 92.92%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 45 of 45 citing papers.

Rank Citing Paper Year Venue Pagerank
204 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034784455
640 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00018759152
806 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00016434274
884 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00015654004
1,322 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012610912
1,855 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00010315245
2,156 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2018 VLDB 9.4170209e-05
2,219 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 9.2623533e-05
3,142 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 7.4815444e-05
3,248 A Learned Query Rewrite System using Monte Carlo Tree Search 2022 VLDB 7.3258782e-05
3,348 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 7.1904529e-05
3,580 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 6.9500996e-05
3,625 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 6.9055212e-05
3,828 Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction 2022 VLDB 6.7208524e-05
4,088 Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads 2013 VLDB 6.4603918e-05
4,590 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.0620053e-05
5,337 Learned Index Benefits: Machine Learning Based Index Performance Estimation 2022 VLDB 5.5635208e-05
5,371 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 5.5428776e-05
5,473 Facilitating SQL Query Composition and Analysis 2020 SIGMOD 5.4885366e-05
5,581 CliffGuard: A Principled Framework for Finding Robust Database Designs 2015 SIGMOD 5.424205e-05
5,637 Database Workload Characterization with Query Plan Encoders 2022 VLDB 5.3979505e-05
5,688 PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics 2013 VLDB 5.3702808e-05
5,832 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 5.3111109e-05
6,278 Uncertainty Aware Query Execution Time Prediction 2014 VLDB 5.1309442e-05
7,296 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 4.7723197e-05
7,388 Distribution-Based Query Scheduling 2013 VLDB 4.7437725e-05
7,467 Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees 2025 SIGMOD 4.7218691e-05
7,655 Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward 2021 VLDB 4.6872456e-05
7,753 Rethinking Learned Cost Models: Why Start from Scratch? 2023 SIGMOD 4.660151e-05
7,776 Plan Stitch: Harnessing the Best of Many Plans 2018 VLDB 4.6537231e-05
7,990 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 4.6117441e-05
8,220 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 4.5557328e-05
8,578 Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems 2022 VLDB 4.4923477e-05
8,739 Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud 2024 SIGMOD 4.456315e-05
9,203 Intelligent Automated Workload Analysis for Database Replatforming 2022 SIGMOD 4.3740313e-05
9,917 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 4.2561557e-05
9,929 Wred: Workload Reduction for Scalable Index Tuning 2024 SIGMOD 4.2510122e-05
9,930 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 4.2510122e-05
10,125 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 4.1945683e-05
10,310 SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses 2026 VLDB 4.1945683e-05
10,543 Esc: An Early-Stopping Checker for Budget-aware Index Tuning 2025 VLDB 4.1945683e-05
10,564 PlanRGCN: Predicting SPARQL Query Performance 2025 VLDB 4.1945683e-05
10,726 Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries 2025 VLDB 4.1945683e-05
11,817 Lifting the Haze off the Cloud: A Consumer-Centric Market for Database Computation in the Cloud 2017 VLDB 4.1945683e-05
12,059 Workload Management for Big Data Analytics 2013 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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