LlamaTune: Sample-Efficient DBMS Configuration Tuning

Summary: LlamaTune uses domain knowledge to boost DBMS tuning. Randomized projections shrink dimensions; biased sampling handles knob values; bucketization reduces space; up to 11x fewer runs and 21% higher throughput, generalizing across BO/RL and DBMS versions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12778
Venue: VLDB
Year: 2022
Pagerank: 6.2396606e-05
Overall Rank: 4,380 | 69.54%
DOI: 10.14778/3551793.3551844

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 25 of 25 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,114	GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization	2024	VLDB	7.5451724e-05
6,151	An Efficient Transfer Learning Based Configuration Adviser for Database Tuning	2024	VLDB	5.183652e-05
6,379	A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning	2023	SIGMOD	5.0909479e-05
6,885	PilotScope: Steering Databases with Machine Learning Drivers	2024	VLDB	4.895386e-05
7,753	Rethinking Learned Cost Models: Why Start from Scratch?	2023	SIGMOD	4.660151e-05
7,990	Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD	2024	VLDB	4.6117441e-05
8,020	The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions	2024	VLDB	4.6040862e-05
8,186	E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model	2025	VLDB	4.5651684e-05
8,582	Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All?	2025	CIDR	4.492033e-05
8,659	Learned Offline Query Planning via Bayesian Optimization	2025	SIGMOD	4.4722928e-05
9,190	MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud	2024	VLDB	4.3768215e-05
9,917	Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes	2023	VLDB	4.2561557e-05
9,956	SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression	2025	VLDB	4.2373024e-05
10,047	AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning	2026	SIGMOD	4.1945683e-05
10,093	MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration	2026	SIGMOD	4.1945683e-05
10,164	ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning	2026	SIGMOD	4.1945683e-05
10,217	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	4.1945683e-05
10,247	Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents	2026	VLDB	4.1945683e-05
10,259	Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink	2026	VLDB	4.1945683e-05
10,271	OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning	2026	VLDB	4.1945683e-05
10,328	Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction	2026	VLDB	4.1945683e-05
10,370	Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions	2025	SIGMOD	4.1945683e-05
10,414	Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment	2025	SIGMOD	4.1945683e-05
10,849	AXE: A Task Decomposition Approach to Learned LSM Tuning	2025	VLDB	4.1945683e-05
11,225	Auto-Tuning with Reinforcement Learning for Permissioned Blockchain Systems	2023	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
183	Automatic Database Management System Tuning Through Large-scale Machine Learning	2017	SIGMOD	0.00036721403
340	OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases	2014	VLDB	0.00026841628
424	Tuning Database Configuration Parameters with iTuned	2009	VLDB	0.00023616398
514	An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning	2019	SIGMOD	0.0002124895
663	Adaptive Self-Tuning Memory in DB2	2006	VLDB	0.00018469455
782	QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning	2019	VLDB	0.00016729063
1,827	An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems	2021	VLDB	0.00010390548
3,522	ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases	2021	SIGMOD	7.0096727e-05
3,812	Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation	2022	VLDB	6.7373184e-05
4,240	Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation	2021	VLDB	6.3318228e-05
4,265	CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions	2021	VLDB	6.3097793e-05
4,913	UDO: Universal Database Optimization using Reinforcement Learning	2021	VLDB	5.8316231e-05

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10,247	Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents	2026	VLDB	4.1945683e-05
6,151	An Efficient Transfer Learning Based Configuration Adviser for Database Tuning	2024	VLDB	5.183652e-05
1,827	An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems	2021	VLDB	0.00010390548
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4,842	Towards Dynamic and Safe Configuration Tuning for Cloud Databases	2022	SIGMOD	5.8826802e-05
183	Automatic Database Management System Tuning Through Large-scale Machine Learning	2017	SIGMOD	0.00036721403
3,114	GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization	2024	VLDB	7.5451724e-05
10,047	AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning	2026	SIGMOD	4.1945683e-05
10,217	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	4.1945683e-05
10,093	MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration	2026	SIGMOD	4.1945683e-05