Tuning Database Configuration Parameters with iTuned

Summary: iTuned automatically tunes database configuration parameters via adaptive sampling and planned experiments. Its cycle-stealing executor enables near-zero-overhead online tuning in production, while remaining portable across database systems and workloads. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: h930a3bd3f9a91dc3
Venue: VLDB
Year: 2009
Pagerank: 0.00021288111
Overall Rank: 313 | 97.91%
DOI: 10.14778/1687627.1687767

Incoming Non-self Citations Over Time

Authors

1. Songyun Duan (Duke University)
2. Vamsidhar Thummala (Duke University)
3. Shivnath Babu (Duke University)

BibTeX Citation

@article{duan_vldb09,
        title = {{Tuning Database Configuration Parameters with iTuned}},
        author = {Duan, Songyun and Thummala, Vamsidhar and Babu, Shivnath},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687767},
        url = {https://doi.org/10.14778/1687627.1687767},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 66 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,366	SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression	2025	VLDB	5.0091669e-05
10,377	AGRL: An Agentic GraphRAG Framework with Reinforcement Learning for Database Configuration Debugging	2027	SIGMOD	4.9605343e-05
10,543	HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search	2026	SIGMOD	4.9605343e-05
10,653	MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration	2026	SIGMOD	4.9605343e-05
10,800	Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink	2026	VLDB	4.9605343e-05
10,812	OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning	2026	VLDB	4.9605343e-05
10,978	DBAgent: An RL-Based Agent for Autonomous Database Operations and Maintenance	2026	VLDB	4.9605343e-05
10,982	Tuning the Lookahead Distance for PostgreSQL Asynchronous IO	2026	VLDB	4.9605343e-05
10,988	Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server	2026	VLDB	4.9605343e-05
11,142	Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction	2026	VLDB	4.9605343e-05
11,147	Generic Version Control: Configurable Versioning for Application-Specific Requirements	2025	CIDR	4.9605343e-05
11,173	Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions	2025	SIGMOD	4.9605343e-05
11,350	AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines	2025	VLDB	4.9605343e-05
11,556	Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless	2024	SIGMOD	4.9605343e-05
12,180	Automated Performance Management for the Big Data Stack	2019	CIDR	4.9605343e-05
12,470	ConfSeer: Leveraging Customer Support Knowledge Bases for Automated Misconfiguration Detection	2015	VLDB	4.9605343e-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
9	Online Aggregation	1997	SIGMOD	0.00076079812
343	Model-Driven Data Acquisition in Sensor Networks	2004	VLDB	0.00020486383
380	AutoAdmin "What-if" Index Analysis Utility	1998	SIGMOD	0.00019530546
496	Adaptive Self-Tuning Memory in DB2	2006	VLDB	0.00017347275
775	Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering	2002	VLDB	0.00014062388
830	Automatic Virtual Machine Configuration for Database Workloads	2008	SIGMOD	0.00013571967
1,246	Compressing SQL Workloads	2002	SIGMOD	0.00011355447
1,828	Effective Use of Block-Level Sampling in Statistics Estimation	2004	SIGMOD	9.5396315e-05

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