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Automatic Physical Database Tuning: A Relaxation-based Approach

Summary: Relaxation-based framework for automatic physical database tuning, reducing heuristics and assumptions in prior designs. Experiments show competitive or superior recommendations vs top commercial solutions across large workloads and multiple structures. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3700
Venue
SIGMOD
Year
2005
Pagerank
0.00014173242
Overall Rank
768 | 94.74%
DOI
10.1145/1066157.1066184

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{bruno_sigmod05,
        title = {{Automatic Physical Database Tuning: A Relaxation-based Approach}},
        author = {Bruno, Nicolas and Chaudhuri, Surajit},
        series = {{SIGMOD} '05},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1066157.1066184},
        url = {https://dl.acm.org/doi/10.1145/1066157.1066184},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 45 of 45 citing papers.

Rank Citing Paper Year Venue Pagerank
334 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00020875082
1,070 NoDB: Efficient Query Execution on Raw Data Files 2012 SIGMOD 0.0001232307
1,367 H2O: A Hands-free Adaptive Store 2014 SIGMOD 0.00011014419
1,481 Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms 2020 VLDB 0.00010644613
1,904 CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads 2011 VLDB 9.5040429e-05
1,927 Here are my Data Files. Here are my Queries. Where are my Results? 2011 CIDR 9.4703074e-05
1,997 Efficient Use of the Query Optimizer for Automated Physical Design 2007 VLDB 9.3378162e-05
2,364 To Tune or not to Tune? A Lightweight Physical Design Alerter 2006 VLDB 8.6869645e-05
2,722 Automatic Physical Design Tuning: Workload as a Sequence 2006 SIGMOD 8.206711e-05
2,811 Constrained Physical Design Tuning 2008 VLDB 8.0982817e-05
3,003 Configuration-Parametric Query Optimization for Physical Design Tuning 2008 SIGMOD 7.8620915e-05
3,009 The Case for RodentStore, an Adaptive, Declarative Storage System 2009 CIDR 7.8541296e-05
4,468 One Model to Rule them All: Towards Zero-Shot Learning for Databases 2022 CIDR 6.6819041e-05
4,489 COLT: Continuous On-Line Database Tuning 2006 SIGMOD 6.6675192e-05
4,550 Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications 2009 VLDB 6.635765e-05
5,091 Budget-aware Index Tuning with Reinforcement Learning 2022 SIGMOD 6.3669569e-05
5,558 HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning 2023 VLDB 6.1749098e-05
5,869 ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning 2022 SIGMOD 6.0610922e-05
6,327 Breaking It Down: An In-depth Study of Index Advisors 2024 VLDB 5.9124005e-05
6,462 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 5.8717744e-05
7,076 Refactoring Index Tuning Process with Benefit Estimation 2024 VLDB 5.7098893e-05
7,098 QueryScope: Visualizing Queries for Repeatable Database Tuning 2008 VLDB 5.7046615e-05
7,346 An Automated, Yet Interactive and Portable DB Designer 2010 SIGMOD 5.6377748e-05
7,465 Automated Multidimensional Data Layouts in Amazon Redshift 2024 SIGMOD 5.6108826e-05
7,525 Towards Cost-Effective Storage Provisioning for DBMSs 2012 VLDB 5.6029996e-05
7,655 Plan Stitch: Harnessing the Best of Many Plans 2018 VLDB 5.5741093e-05
7,750 DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning 2022 VLDB 5.5523652e-05
7,842 Processing and Optimizing Main Memory Spatial-Keyword Queries 2016 VLDB 5.5333985e-05
7,846 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 5.5331459e-05
8,076 Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors 2024 VLDB 5.4927414e-05
8,583 Query Log Compression for Workload Analytics 2019 VLDB 5.4079618e-05
9,490 Robustness of Updatable Learning-based Index Advisors against Poisoning Attack 2024 SIGMOD 5.2629522e-05
9,615 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 5.2436464e-05
9,966 Generating Application-Specific Data Layouts for In-memory Databases 2019 VLDB 5.1870939e-05
10,003 Adaptive Schema Databases 2017 CIDR 5.1814573e-05
10,082 Wred: Workload Reduction for Scalable Index Tuning 2024 SIGMOD 5.1587525e-05
10,327 Rainbow: Risk-aware Index Benefit Estimation Facing Out Of Distribution Workloads 2026 SIGMOD 5.093636e-05
10,413 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,506 This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! 2026 SIGMOD 5.093636e-05
10,815 Esc: An Early-Stopping Checker for Budget-aware Index Tuning 2025 VLDB 5.093636e-05
11,150 Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless 2024 SIGMOD 5.093636e-05
11,277 Index Advisors on Quantum Platforms 2024 VLDB 5.093636e-05
11,306 Looking Deeply into the Magic Mirror: An Interactive Analysis of Database Index Selection Approaches 2024 VLDB 5.093636e-05
12,566 An XML Index Advisor for DB2 2008 SIGMOD 5.093636e-05
12,616 The Data Ring: Community Content Sharing 2007 CIDR 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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