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iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases

Summary: iBTune automates per-instance buffer tuning in cloud DBs under a fixed memory budget. It uses similarity-based miss-ratio inference and a pairwise deep neural network to bound response time, enabling memory reduction across 10k OLTP instances. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h4affd25eb61dbb05
Venue
VLDB
Year
2019
Pagerank
7.7351139e-05
Overall Rank
3,032 | 79.62%
DOI
10.14778/3339490.3339503

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tan_vldb19,
        title = {{iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases}},
        author = {Tan, Jian and Zhang, Tieying and Li, Feifei and Chen, Jie and Zheng, Qixing and Zhang, Ping and Qiao, Honglin and Shi, Yue and Cao, Wei and Zhang, Rui},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {10},
        pages = {1221--1234},
        doi = {10.14778/3339490.3339503},
        url = {https://doi.org/10.14778/3339490.3339503},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 27 of 27 citing papers.

Rank Citing Paper Year Venue Pagerank
1,064 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012202282
1,289 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011162479
1,343 PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers 2021 SIGMOD 0.00010963588
1,513 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010429438
2,720 ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases 2021 SIGMOD 8.0966919e-05
2,772 Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation 2022 VLDB 8.035288e-05
3,479 Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine 2022 VLDB 7.2695068e-05
3,486 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2636102e-05
3,671 Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines 2020 VLDB 7.1100217e-05
3,682 openGauss: An Autonomous Database System 2021 VLDB 7.1013922e-05
3,879 RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection 2021 SIGMOD 6.9511324e-05
4,025 MagicScaler: Uncertainty-aware, Predictive Autoscaling 2023 VLDB 6.8460581e-05
4,079 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 6.818264e-05
4,741 Machine Learning for Databases 2021 VLDB 6.4410027e-05
5,018 Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems 2021 VLDB 6.3121723e-05
5,194 Database Workload Characterization with Query Plan Encoders 2022 VLDB 6.2353557e-05
5,456 Eraser: Eliminating Performance Regression on Learned Query Optimizer 2024 VLDB 6.1239873e-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
8,601 Towards Resource Efficiency: Practical Insights into Large-Scale Spark Workloads at ByteDance 2024 VLDB 5.3051732e-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
10,122 Eigen+: Memory Over-Subscription for Alibaba Cloud Databases 2025 SIGMOD 5.0769466e-05
10,333 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.0281656e-05
10,641 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.9793485e-05
10,949 Narwhal: Breaking the Local Boundary via Disaggregated Memory Scheduling for Alibaba AnalyticDB 2026 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 11 of 11 cited papers.

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

Rank Cited Paper Year Venue Pagerank
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046284649
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036684414
212 The LRU-K Page Replacement Algorithm For Database Disk Buffering 1993 SIGMOD 0.00024767296
224 Self-Driving Database Management Systems 2017 CIDR 0.00024013745
460 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017842695
508 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00017089907
1,067 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.0001219157
1,160 P-Store: An Elastic Database System with Predictive Provisioning 2018 SIGMOD 0.00011769228
1,313 X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing 2019 SIGMOD 0.00011060108
2,999 Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service 2015 VLDB 7.7676694e-05
3,519 Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads 2013 VLDB 7.2389387e-05
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# Overall Rank Paper Year Venue
1 4,862 iTuned: A Tool for Configuring and Visualizing Database Parameters 2010 SIGMOD
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8 314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD
9 4,079 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD
10 2,720 ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases 2021 SIGMOD