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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
h51d6ce3044a50ade
Venue
SIGMOD
Year
2021
Pagerank
8.0931221e-05
Overall Rank
2,721 | 81.72%
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 38 of 38 citing papers.

Rank Citing Paper Year Venue Pagerank
2,227 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 8.8007923e-05
2,770 Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation 2022 VLDB 8.0343719e-05
3,052 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB 7.704739e-05
3,487 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2603973e-05
4,080 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 6.8151596e-05
4,113 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 6.7964307e-05
4,743 Machine Learning for Databases 2021 VLDB 6.4379536e-05
5,062 Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing 2022 VLDB 6.2896995e-05
5,080 DBPA: A Benchmark for Transactional Database Performance Anomalies 2023 SIGMOD 6.2830313e-05
5,284 An Efficient Transfer Learning Based Configuration Adviser for Database Tuning 2024 VLDB 6.1963031e-05
6,453 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.7790502e-05
6,732 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.6921776e-05
7,072 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.6053987e-05
8,009 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 5.4063491e-05
8,283 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 5.3613692e-05
8,608 Towards Resource Efficiency: Practical Insights into Large-Scale Spark Workloads at ByteDance 2024 VLDB 5.3026618e-05
9,010 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.2371313e-05
9,627 Db2une: Tuning Under Pressure via Deep Learning 2024 VLDB 5.1477233e-05
9,911 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD 5.1079647e-05
9,926 Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System 2022 VLDB 5.1079647e-05
9,962 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 5.1014161e-05
10,089 ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems 2023 VLDB 5.0806786e-05
10,297 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 5.0407989e-05
10,340 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.0257853e-05
10,477 HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search 2026 SIGMOD 4.9769913e-05
10,591 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 4.9769913e-05
10,652 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.9769913e-05
10,765 A Resource-centric Analysis and Optimization of NoSQL Workloads using Distressed Resource Volume Metric 2026 VLDB 4.9769913e-05
10,896 MFTune: An Efficient Multi-fidelity Framework for Spark SQL Configuration Tuning 2026 VLDB 4.9769913e-05
10,917 DBAgent: An RL-Based Agent for Autonomous Database Operations and Maintenance 2026 VLDB 4.9769913e-05
10,925 AutoLiquid: Autonomic Data Layout Optimization for the Databricks Lakehouse 2026 VLDB 4.9769913e-05
11,081 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 4.9769913e-05
11,112 Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions 2025 SIGMOD 4.9769913e-05
11,216 High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration 2025 SIGMOD 4.9769913e-05
11,243 A Systematic Study on Early Stopping Metrics in HPO and the Implications of Uncertainty 2025 VLDB 4.9769913e-05
11,295 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 4.9769913e-05
11,436 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 4.9769913e-05
11,746 Auto-Tuning with Reinforcement Learning for Permissioned Blockchain Systems 2023 VLDB 4.9769913e-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
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036675568
235 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00023689995
314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021276452
322 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00021034201
437 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00018310278
1,160 P-Store: An Elastic Database System with Predictive Provisioning 2018 SIGMOD 0.00011763834
1,699 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 9.8403606e-05
2,286 CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service 2014 VLDB 8.6920821e-05
3,032 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.7317595e-05
5,159 Facilitating SQL Query Composition and Analysis 2020 SIGMOD 6.2464819e-05
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Semantically Similar Papers

# Overall Rank Paper Year Venue
1 1,289 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB
2 9,911 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD
3 5,090 Releasing Cloud Databases from the Chains of Performance Prediction Models 2017 CIDR
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5 78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD
6 3,052 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB
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8 3,032 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB
9 4,080 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD
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