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ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases

Summary: ResTune uses meta-learning and historical tuning-task ensembles to accelerate resource knob optimization in cloud DBMS under SLA constraints. It transfers workload–hardware similarity to tasks, delivering tuning with 18x speedups and lower CPU, I/O, and memory than manual or prior methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6244
Venue
SIGMOD
Year
2021
Pagerank
7.7390737e-05
Overall Rank
3,116 | 78.63%
DOI
10.1145/3448016.3457291

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod21,
        title = {{ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases}},
        author = {Zhang, Xinyi and Wu, Hong and Chang, Zhuo and Jin, Shuowei and Tan, Jian and Li, Feifei and Zhang, Tieying and Cui, Bin},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3457291},
        url = {https://dl.acm.org/doi/10.1145/3448016.3457291},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 34 of 34 citing papers.

Rank Citing Paper Year Venue Pagerank
2,298 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 8.7886538e-05
2,740 Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation 2022 VLDB 8.1855759e-05
3,343 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB 7.4983591e-05
3,587 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2829345e-05
4,011 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 6.959982e-05
5,023 DBPA: A Benchmark for Transactional Database Performance Anomalies 2023 SIGMOD 6.3979497e-05
5,171 An Efficient Transfer Learning Based Configuration Adviser for Database Tuning 2024 VLDB 6.3347618e-05
5,340 Machine Learning for Databases 2021 VLDB 6.2603359e-05
5,388 Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing 2022 VLDB 6.2362811e-05
5,856 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 6.0644656e-05
6,344 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.9060457e-05
6,600 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.8250114e-05
6,997 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.7300324e-05
8,457 Towards Resource Efficiency: Practical Insights into Large-Scale Spark Workloads at ByteDance 2024 VLDB 5.4217837e-05
8,615 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 5.4005602e-05
8,849 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.3577504e-05
9,290 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 5.2910774e-05
9,441 Db2une: Tuning Under Pressure via Deep Learning 2024 VLDB 5.2678428e-05
9,739 Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System 2022 VLDB 5.227679e-05
9,898 ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems 2023 VLDB 5.1997534e-05
10,105 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.1435736e-05
10,253 HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search 2026 SIGMOD 5.093636e-05
10,340 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD 5.093636e-05
10,384 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 5.093636e-05
10,453 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 5.093636e-05
10,535 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 5.093636e-05
10,626 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 5.093636e-05
10,660 Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions 2025 SIGMOD 5.093636e-05
10,791 High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration 2025 SIGMOD 5.093636e-05
10,827 A Systematic Study on Early Stopping Metrics in HPO and the Implications of Uncertainty 2025 VLDB 5.093636e-05
10,886 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 5.093636e-05
11,073 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 5.093636e-05
11,083 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 5.093636e-05
11,426 Auto-Tuning with Reinforcement Learning for Permissioned Blockchain Systems 2023 VLDB 5.093636e-05
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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
86 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00035316107
226 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00024027277
334 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00020875082
347 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00020651582
498 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00017440583
1,218 P-Store: An Elastic Database System with Predictive Provisioning 2018 SIGMOD 0.00011621066
1,686 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010008686
2,381 CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service 2014 VLDB 8.6607625e-05
3,219 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.6283153e-05
5,132 Facilitating SQL Query Composition and Analysis 2020 SIGMOD 6.3534526e-05
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# Overall Rank Paper Year Venue
1 1,344 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB
2 10,340 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD
3 4,987 Releasing Cloud Databases from the Chains of Performance Prediction Models 2017 CIDR
4 2,298 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB
5 86 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD
6 3,343 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB
7 5,171 An Efficient Transfer Learning Based Configuration Adviser for Database Tuning 2024 VLDB
8 3,219 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB
9 4,011 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD
10 334 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD