Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems

Summary: Survey of parameter tuning for databases, Hadoop, and Spark, with six approaches: rule-based, cost modeling, simulation, experiment-driven, ML, adaptive tuning. Outlines foundations, pros/cons, cloud, and challenges in heterogeneity and real-time analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11914
Venue: VLDB
Year: 2019
Pagerank: 5.133857e-05
Overall Rank: 6,268 | 56.40%
DOI: 10.14778/3352063.3352112

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,473	AI Meets Database: AI4DB and DB4AI	2021	SIGMOD	7.062864e-05
4,934	From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management	2022	VLDB	5.8198826e-05
5,918	Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems	2021	VLDB	5.2737135e-05
6,297	Towards instance-optimized data systems	2021	VLDB	5.1227886e-05
7,296	Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities	2022	SIGMOD	4.7723197e-05
7,683	TDSQL: Tencent Distributed Database System	2024	VLDB	4.6799361e-05
9,826	Exploiting Structure in Regular Expression Queries	2023	SIGMOD	4.2751057e-05
10,418	TXSQL: Lock Optimizations Towards High Contented Workloads	2025	SIGMOD	4.1945683e-05
11,176	How To Optimize My Blockchain? A Multi-Level Recommendation Approach	2023	SIGMOD	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
42	A Comparison of Approaches to Large-Scale Data Analysis	2009	SIGMOD	0.00073498298
183	Automatic Database Management System Tuning Through Large-scale Machine Learning	2017	SIGMOD	0.00036721403
424	Tuning Database Configuration Parameters with iTuned	2009	VLDB	0.00023616398
663	Adaptive Self-Tuning Memory in DB2	2006	VLDB	0.00018469455
765	Automatic Performance Diagnosis and Tuning in Oracle	2005	CIDR	0.00017016449
868	Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs	2011	VLDB	0.00015789681
1,071	Starfish: A Self-tuning System for Big Data Analytics	2011	CIDR	0.00014312777
1,615	The Performance of MapReduce: An In-depth Study	2010	VLDB	0.00011132319
3,914	A Demonstration of the OtterTune Automatic Database Management System Tuning Service	2018	VLDB	6.6339644e-05
6,433	Self-Managing Technology in Database Management Systems	2004	VLDB	5.0642403e-05
6,520	Foundations of Automated Database Tuning	2006	VLDB	5.0307595e-05
7,304	MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs	2014	VLDB	4.7684491e-05
9,066	Tempo: Robust and Self-Tuning Resource Management in Multi-tenant Parallel Databases	2016	VLDB	4.4035481e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
1,902	Black or White? How to Develop an AutoTuner for Memory-based Analytics	2020	SIGMOD	0.00010157713
9,504	Supporting Scalable Analytics with Latency Constraints	2015	VLDB	4.3341665e-05
5,861	Machine Learning for Databases	2021	VLDB	5.298883e-05
6,456	From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems	2019	SIGMOD	5.0564619e-05
7,866	Operational Analytics Data Management Systems	2016	VLDB	4.6321795e-05
9,375	Efficient Big Data Processing in Hadoop MapReduce	2012	VLDB	4.347384e-05
424	Tuning Database Configuration Parameters with iTuned	2009	VLDB	0.00023616398
3,812	Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation	2022	VLDB	6.7373184e-05
8,617	A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning	2024	VLDB	4.4846425e-05
6,871	Towards General and Efficient Online Tuning for Spark	2023	VLDB	4.8997004e-05