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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
8.2581875e-05
Overall Rank
2,572 | 82.77%
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 39 of 39 citing papers.

Rank Citing Paper Year Venue Pagerank
2,227 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 8.7924681e-05
2,779 Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation 2022 VLDB 8.0085666e-05
3,057 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB 7.6865211e-05
3,486 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2428834e-05
3,839 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 6.9704205e-05
4,101 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 6.7930727e-05
4,765 Machine Learning for Databases 2021 VLDB 6.4166895e-05
5,043 Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing 2022 VLDB 6.28918e-05
5,098 DBPA: A Benchmark for Transactional Database Performance Anomalies 2023 SIGMOD 6.2631174e-05
5,304 An Efficient Transfer Learning Based Configuration Adviser for Database Tuning 2024 VLDB 6.1758143e-05
6,464 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.759941e-05
6,752 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.6733557e-05
7,092 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.5868637e-05
8,026 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 5.3884724e-05
8,298 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 5.3437127e-05
8,626 Towards Resource Efficiency: Practical Insights into Large-Scale Spark Workloads at ByteDance 2024 VLDB 5.2851279e-05
9,031 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.219814e-05
9,655 Db2une: Tuning Under Pressure via Deep Learning 2024 VLDB 5.1307018e-05
9,946 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD 5.0910746e-05
9,961 Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System 2022 VLDB 5.0910746e-05
9,995 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 5.0845476e-05
10,123 ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems 2023 VLDB 5.0638787e-05
10,324 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 5.0241309e-05
10,366 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.0091669e-05
10,377 AGRL: An Agentic GraphRAG Framework with Reinforcement Learning for Database Configuration Debugging 2027 SIGMOD 4.9605343e-05
10,543 HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search 2026 SIGMOD 4.9605343e-05
10,653 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 4.9605343e-05
10,713 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.9605343e-05
10,826 A Resource-centric Analysis and Optimization of NoSQL Workloads using Distressed Resource Volume Metric 2026 VLDB 4.9605343e-05
10,957 MFTune: An Efficient Multi-fidelity Framework for Spark SQL Configuration Tuning 2026 VLDB 4.9605343e-05
10,978 DBAgent: An RL-Based Agent for Autonomous Database Operations and Maintenance 2026 VLDB 4.9605343e-05
10,986 AutoLiquid: Autonomic Data Layout Optimization for the Databricks Lakehouse 2026 VLDB 4.9605343e-05
11,142 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 4.9605343e-05
11,173 Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions 2025 SIGMOD 4.9605343e-05
11,273 High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration 2025 SIGMOD 4.9605343e-05
11,299 A Systematic Study on Early Stopping Metrics in HPO and the Implications of Uncertainty 2025 VLDB 4.9605343e-05
11,350 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 4.9605343e-05
11,489 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 4.9605343e-05
11,790 Auto-Tuning with Reinforcement Learning for Permissioned Blockchain Systems 2023 VLDB 4.9605343e-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
74 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00037164008
236 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00023639649
309 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.0002143249
313 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00021288111
411 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.0001874043
1,157 P-Store: An Elastic Database System with Predictive Provisioning 2018 SIGMOD 0.00011748784
1,700 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 9.8224761e-05
2,295 CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service 2014 VLDB 8.677224e-05
2,929 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.830745e-05
5,160 Facilitating SQL Query Composition and Analysis 2020 SIGMOD 6.2354336e-05
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Semantically Similar Papers

# Overall Rank Paper Year Venue
1 1,294 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB
2 9,946 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD
3 5,097 Releasing Cloud Databases from the Chains of Performance Prediction Models 2017 CIDR
4 2,227 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB
5 74 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD
6 3,057 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB
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8 2,929 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB
9 4,101 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD
10 309 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD