Configuration-Parametric Query Optimization for Physical Design Tuning

Summary: Configuration-Parametric Query Optimization for automated physical design tuning enables one optimization per query, yielding a compact plan-space across configurations. Speeds up optimization 30x–450x with minimal quality loss, removing bottlenecks and enabling richer tuning. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4106
Venue: SIGMOD
Year: 2008
Pagerank: 7.8620915e-05
Overall Rank: 3,003 | 79.40%
DOI: 10.1145/1376616.1376710

Incoming Non-self Citations Over Time

Authors

1. Nicolas Bruno (Microsoft)
2. Rimma V. Nehme (Purdue University)

BibTeX Citation

@inproceedings{bruno_sigmod08,
        title = {{Configuration-Parametric Query Optimization for Physical Design Tuning}},
        author = {Bruno, Nicolas and Nehme, Rimma V.},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376710},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376710},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
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
1,852	Automated Partitioning Design in Parallel Database Systems	2011	SIGMOD	9.6134443e-05
1,904	CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads	2011	VLDB	9.5040429e-05
2,540	Multi-Objective Parametric Query Optimization	2015	VLDB	8.45187e-05
2,811	Constrained Physical Design Tuning	2008	VLDB	8.0982817e-05
3,205	On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML	2018	VLDB	7.6386536e-05
4,039	Semi-Automatic Index Tuning: Keeping DBAs in the Loop	2012	VLDB	6.9424878e-05
4,049	Resource Elasticity for Large-Scale Machine Learning	2015	SIGMOD	6.9369379e-05
4,550	Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications	2009	VLDB	6.635765e-05
5,176	Predicting Cost Amortization for Query Services	2011	SIGMOD	6.3326746e-05
6,593	Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis	2023	VLDB	5.8297039e-05
8,861	Optimizing the cloud? Don't train models. Build oracles!	2024	CIDR	5.355716e-05
10,139	Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More!	2026	CIDR	5.093636e-05
10,518	Breaking the Isolation-Freshness Trade-off: Joint Adaptive Storage Optimization for HTAP Systems	2026	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
156	An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server	1997	VLDB	0.00028636811
184	DB2 Design Advisor: Integrated Automatic Physical Database Design	2004	VLDB	0.00026256101
387	AutoAdmin "What-if" Index Analysis Utility	1998	SIGMOD	0.00019442332
501	Database Tuning Advisor for Microsoft SQL Server 2005	2004	VLDB	0.0001738508
524	Automatic SQL Tuning in Oracle 10g	2004	VLDB	0.00017120666
768	Automatic Physical Database Tuning: A Relaxation-based Approach	2005	SIGMOD	0.00014173242
770	Parametric Query Optimization	1992	VLDB	0.00014166811
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
5,656	The Query Optimizer in Tandem’s new ServerWare SQL Product	1996	VLDB	6.131464e-05

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