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: h2ead3673731b65a5
Venue: SIGMOD
Year: 2005
Pagerank: 0.00014251362
Overall Rank: 751 | 94.96%
DOI: 10.1145/1066157.1066184

Incoming Non-self Citations Over Time

Authors

1. Nicolas Bruno (Microsoft)
2. Surajit Chaudhuri (Microsoft)

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 48 of 48 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
314	An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning	2019	SIGMOD	0.00021276452
1,070	NoDB: Efficient Query Execution on Raw Data Files	2012	SIGMOD	0.00012179575
1,380	H2O: A Hands-free Adaptive Store	2014	SIGMOD	0.00010858313
1,396	Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms	2020	VLDB	0.00010788714
1,815	CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads	2011	VLDB	9.5756946e-05
1,927	Here are my Data Files. Here are my Queries. Where are my Results?	2011	CIDR	9.362697e-05
2,025	Efficient Use of the Query Optimizer for Automated Physical Design	2007	VLDB	9.1650298e-05
2,374	To Tune or not to Tune? A Lightweight Physical Design Alerter	2006	VLDB	8.5570131e-05
2,776	Automatic Physical Design Tuning: Workload as a Sequence	2006	SIGMOD	8.0278951e-05
2,856	Constrained Physical Design Tuning	2008	VLDB	7.934373e-05
3,041	Configuration-Parametric Query Optimization for Physical Design Tuning	2008	SIGMOD	7.718081e-05
3,059	The Case for RodentStore, an Adaptive, Declarative Storage System	2009	CIDR	7.6939894e-05
4,536	One Model to Rule them All: Towards Zero-Shot Learning for Databases	2022	CIDR	6.552998e-05
4,571	COLT: Continuous On-Line Database Tuning	2006	SIGMOD	6.5269069e-05
4,609	Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications	2009	VLDB	6.5007715e-05
4,970	Budget-aware Index Tuning with Reinforcement Learning	2022	SIGMOD	6.3319052e-05
5,632	ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning	2022	SIGMOD	6.0554368e-05
5,675	HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning	2023	VLDB	6.0401656e-05
5,700	PilotScope: Steering Databases with Machine Learning Drivers	2024	VLDB	6.028998e-05
6,027	Automated Multidimensional Data Layouts in Amazon Redshift	2024	SIGMOD	5.9089922e-05
6,107	Breaking It Down: An In-depth Study of Index Advisors	2024	VLDB	5.8833461e-05
7,074	Plan Stitch: Harnessing the Best of Many Plans	2018	VLDB	5.604902e-05
7,219	Refactoring Index Tuning Process with Benefit Estimation	2024	VLDB	5.5808392e-05
7,233	QueryScope: Visualizing Queries for Repeatable Database Tuning	2008	VLDB	5.5766914e-05
7,406	Index Advisors on Quantum Platforms	2024	VLDB	5.5331324e-05
7,429	An Automated, Yet Interactive and Portable DB Designer	2010	SIGMOD	5.5288521e-05
7,677	Towards Cost-Effective Storage Provisioning for DBMSs	2012	VLDB	5.4746904e-05
7,904	DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning	2022	VLDB	5.4277674e-05
7,972	Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors	2024	VLDB	5.4130405e-05
7,981	The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions	2024	VLDB	5.4117272e-05
8,006	Processing and Optimizing Main Memory Spatial-Keyword Queries	2016	VLDB	5.4066876e-05
8,644	Query Log Compression for Workload Analytics	2019	VLDB	5.295468e-05
9,677	Robustness of Updatable Learning-based Index Advisors against Poisoning Attack	2024	SIGMOD	5.1424302e-05
9,796	Wii: Dynamic Budget Reallocation In Index Tuning	2024	SIGMOD	5.1236285e-05
9,950	Wred: Workload Reduction for Scalable Index Tuning	2024	SIGMOD	5.102891e-05
10,160	Generating Application-Specific Data Layouts for In-memory Databases	2019	VLDB	5.0683727e-05
10,183	Adaptive Schema Databases	2017	CIDR	5.063596e-05
10,296	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	5.0407989e-05
10,543	Rainbow: Risk-aware Index Benefit Estimation Facing Out Of Distribution Workloads	2026	SIGMOD	4.9769913e-05
10,615	Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis]	2026	SIGMOD	4.9769913e-05
10,921	Tuning the Lookahead Distance for PostgreSQL Asynchronous IO	2026	VLDB	4.9769913e-05
10,925	AutoLiquid: Autonomic Data Layout Optimization for the Databricks Lakehouse	2026	VLDB	4.9769913e-05
10,927	Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server	2026	VLDB	4.9769913e-05
11,232	Esc: An Early-Stopping Checker for Budget-aware Index Tuning	2025	VLDB	4.9769913e-05
11,504	Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless	2024	SIGMOD	4.9769913e-05
11,631	Looking Deeply into the Magic Mirror: An Interactive Analysis of Database Index Selection Approaches	2024	VLDB	4.9769913e-05
12,862	An XML Index Advisor for DB2	2008	SIGMOD	4.9769913e-05
12,912	The Data Ring: Community Content Sharing	2007	CIDR	4.9769913e-05

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
1	Access Path Selection in a Relational Database Management System	1979	SIGMOD	0.0023943337
57	On Random Sampling over Joins	1999	SIGMOD	0.00040095727
88	Automated Selection of Materialized Views and Indexes for SQL Databases	2000	VLDB	0.00035340164
151	An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server	1997	VLDB	0.00028664776
187	DB2 Design Advisor: Integrated Automatic Physical Database Design	2004	VLDB	0.00025914764
378	AutoAdmin "What-if" Index Analysis Utility	1998	SIGMOD	0.00019541534
492	Database Tuning Advisor for Microsoft SQL Server 2005	2004	VLDB	0.00017406029
529	Automatic SQL Tuning in Oracle 10g	2004	VLDB	0.00016859276

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