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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
8.0966919e-05
Overall Rank
2,720 | 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
2,231 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 8.7982985e-05
2,772 Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation 2022 VLDB 8.035288e-05
3,051 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB 7.7055931e-05
3,486 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2636102e-05
4,079 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 6.818264e-05
4,114 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 6.7971182e-05
4,741 Machine Learning for Databases 2021 VLDB 6.4410027e-05
5,058 Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing 2022 VLDB 6.2926774e-05
5,077 DBPA: A Benchmark for Transactional Database Performance Anomalies 2023 SIGMOD 6.2858696e-05
5,286 An Efficient Transfer Learning Based Configuration Adviser for Database Tuning 2024 VLDB 6.1971399e-05
6,450 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.7817872e-05
6,726 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.6948731e-05
7,070 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.6080535e-05
8,004 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 5.4089097e-05
8,277 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 5.3639084e-05
8,601 Towards Resource Efficiency: Practical Insights into Large-Scale Spark Workloads at ByteDance 2024 VLDB 5.3051732e-05
9,012 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.2375369e-05
9,620 Db2une: Tuning Under Pressure via Deep Learning 2024 VLDB 5.1501614e-05
9,904 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD 5.1103839e-05
9,919 Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System 2022 VLDB 5.1103839e-05
9,956 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 5.1038322e-05
10,084 ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems 2023 VLDB 5.0830849e-05
10,291 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 5.0431863e-05
10,333 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.0281656e-05
10,466 HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search 2026 SIGMOD 4.9793485e-05
10,580 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 4.9793485e-05
10,641 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.9793485e-05
10,755 A Resource-centric Analysis and Optimization of NoSQL Workloads using Distressed Resource Volume Metric 2026 VLDB 4.9793485e-05
10,887 MFTune: An Efficient Multi-fidelity Framework for Spark SQL Configuration Tuning 2026 VLDB 4.9793485e-05
10,908 DBAgent: An RL-Based Agent for Autonomous Database Operations and Maintenance 2026 VLDB 4.9793485e-05
10,916 AutoLiquid: Autonomic Data Layout Optimization for the Databricks Lakehouse 2026 VLDB 4.9793485e-05
11,072 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 4.9793485e-05
11,103 Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions 2025 SIGMOD 4.9793485e-05
11,207 High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration 2025 SIGMOD 4.9793485e-05
11,235 A Systematic Study on Early Stopping Metrics in HPO and the Implications of Uncertainty 2025 VLDB 4.9793485e-05
11,287 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 4.9793485e-05
11,430 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 4.9793485e-05
11,740 Auto-Tuning with Reinforcement Learning for Permissioned Blockchain Systems 2023 VLDB 4.9793485e-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 0.00036684414
235 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00023697028
314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021282642
322 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00021041865
437 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00018315867
1,160 P-Store: An Elastic Database System with Predictive Provisioning 2018 SIGMOD 0.00011769228
1,699 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 9.8445322e-05
2,283 CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service 2014 VLDB 8.6961837e-05
3,032 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.7351139e-05
5,158 Facilitating SQL Query Composition and Analysis 2020 SIGMOD 6.2492918e-05
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# 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 9,904 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD
3 5,087 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 3,051 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 4,079 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD
10 314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD