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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
- 11819
- Venue
- VLDB
- Year
- 2019
- Pagerank
- 7.2998062e-05
- Overall Rank
- 3,269 | 77.26%
- DOI
-
10.14778/3339490.3339503
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,703 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00010836769 |
| 1,729 |
Cloud-Native Database Systems at Alibaba: Opportunities and Challenges |
2019 |
VLDB |
0.0001073728 |
| 1,827 |
An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems |
2021 |
VLDB |
0.00010390548 |
| 2,358 |
PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers |
2021 |
SIGMOD |
8.9617346e-05 |
| 3,522 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
7.0096727e-05 |
| 3,812 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
6.7373184e-05 |
| 3,869 |
MagicScaler: Uncertainty-aware, Predictive Autoscaling |
2023 |
VLDB |
6.6802432e-05 |
| 4,113 |
RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection |
2021 |
SIGMOD |
6.4420064e-05 |
| 4,152 |
openGauss: An Autonomous Database System |
2021 |
VLDB |
6.4060406e-05 |
| 4,227 |
Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine |
2022 |
VLDB |
6.3434324e-05 |
| 4,399 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
6.2225151e-05 |
| 4,588 |
Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines |
2020 |
VLDB |
6.0655418e-05 |
| 4,842 |
Towards Dynamic and Safe Configuration Tuning for Cloud Databases |
2022 |
SIGMOD |
5.8826802e-05 |
| 5,637 |
Database Workload Characterization with Query Plan Encoders |
2022 |
VLDB |
5.3979505e-05 |
| 5,861 |
Machine Learning for Databases |
2021 |
VLDB |
5.298883e-05 |
| 5,918 |
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems |
2021 |
VLDB |
5.2737135e-05 |
| 5,952 |
Eraser: Eliminating Performance Regression on Learned Query Optimizer |
2024 |
VLDB |
5.2591691e-05 |
| 6,379 |
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning |
2023 |
SIGMOD |
5.0909479e-05 |
| 8,186 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
4.5651684e-05 |
| 9,155 |
Towards Resource Efficiency: Practical Insights into Large-Scale Spark Workloads at ByteDance |
2024 |
VLDB |
4.3849295e-05 |
| 9,605 |
Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System |
2022 |
VLDB |
4.3177432e-05 |
| 9,789 |
Eigen+: Memory Over-Subscription for Alibaba Cloud Databases |
2025 |
SIGMOD |
4.2818172e-05 |
| 9,956 |
SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression |
2025 |
VLDB |
4.2373024e-05 |
| 10,047 |
AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,164 |
ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning |
2026 |
SIGMOD |
4.1945683e-05 |
| 11,225 |
Auto-Tuning with Reinforcement Learning for Permissioned Blockchain Systems |
2023 |
VLDB |
4.1945683e-05 |
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.
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