DBScholar

Back to papers

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
7.830745e-05
Overall Rank
2,929 | 80.37%
DOI
10.14778/3339490.3339503
PDF
Download (CC BY-NC-ND 4.0)

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 28 of 28 citing papers.

Rank Citing Paper Year Venue Pagerank
1,064 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012181459
1,294 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011129451
1,315 PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers 2021 SIGMOD 0.00011047549
1,509 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010415166
2,572 ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases 2021 SIGMOD 8.2581875e-05
2,779 Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation 2022 VLDB 8.0085666e-05
3,486 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2428834e-05
3,489 Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine 2022 VLDB 7.2421958e-05
3,679 Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines 2020 VLDB 7.0849238e-05
3,687 openGauss: An Autonomous Database System 2021 VLDB 7.0797286e-05
3,892 RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection 2021 SIGMOD 6.924868e-05
4,043 MagicScaler: Uncertainty-aware, Predictive Autoscaling 2023 VLDB 6.8201907e-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
5,046 Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems 2021 VLDB 6.2884087e-05
5,211 Database Workload Characterization with Query Plan Encoders 2022 VLDB 6.2141929e-05
5,453 Eraser: Eliminating Performance Regression on Learned Query Optimizer 2024 VLDB 6.1077838e-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
8,626 Towards Resource Efficiency: Practical Insights into Large-Scale Spark Workloads at ByteDance 2024 VLDB 5.2851279e-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
10,163 Eigen+: Memory Over-Subscription for Alibaba Cloud Databases 2025 SIGMOD 5.0577637e-05
10,366 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.0091669e-05
10,406 PRDCC: PRedictive Deterministic Concurrency Control under High Contention 2027 SIGMOD 4.9605343e-05
10,713 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.9605343e-05
11,019 Narwhal: Breaking the Local Boundary via Disaggregated Memory Scheduling for Alibaba AnalyticDB 2026 VLDB 4.9605343e-05
11,790 Auto-Tuning with Reinforcement Learning for Permissioned Blockchain Systems 2023 VLDB 4.9605343e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers