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Self-Driving Database Management Systems

Summary: Introduces Peloton, the first self-driving DBMS that replaces human-in-the-loop tuning with a unified planning component that autonomously controls physical design and runtime knobs. Uses workload prediction (deep learning), modern hardware, and adaptive architectures to enable proactive, integrated optimizations beyond prior advisory tools. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
301
Venue
CIDR
Year
2017
Pagerank
0.00025382677
Overall Rank
371 | 97.43%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 50 of 89 citing papers.

Rank Citing Paper Year Venue Pagerank
363 CockroachDB: The Resilient Geo-Distributed SQL Database 2020 SIGMOD 0.00025750338
486 TiDB: A Raft-based HTAP Database 2020 VLDB 0.00022039625
510 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021420477
634 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00018844568
704 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017785557
876 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00015660534
1,081 Dhalion: Self-Regulating Stream Processing in Heron 2017 VLDB 0.00014201838
1,404 DB-BERT: A Database Tuning Tool that "Reads the Manual" 2022 SIGMOD 0.00012179714
1,534 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011462072
1,721 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010741822
1,786 Hybrid Transactional/Analytical Processing: A Survey 2017 SIGMOD 0.00010543881
1,856 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00010319105
2,050 Automatically Indexing Millions of Databases in Microsoft Azure SQL Database 2019 SIGMOD 9.6883066e-05
2,154 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2018 VLDB 9.4176683e-05
2,376 Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless 2022 VLDB 8.9367999e-05
2,445 Data Management for Data Science: Towards Embedded Analytics 2020 CIDR 8.7999299e-05
2,533 Velox: Meta’s Unified Execution Engine 2022 VLDB 8.5870599e-05
2,536 DeepLens: Towards a Visual Data Management System 2019 CIDR 8.5817195e-05
2,550 Updatable Learned Index with Precise Positions 2021 VLDB 8.5569576e-05
2,606 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 8.4621503e-05
2,868 Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations 2019 SIGMOD 7.9856878e-05
3,066 Learning a Partitioning Advisor for Cloud Databases 2020 SIGMOD 7.6255556e-05
3,105 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 7.5567226e-05
3,144 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 7.4844943e-05
3,435 Real-time Workload Pattern Analysis for Large-scale Cloud Databases 2023 VLDB 7.0946114e-05
3,466 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.0645718e-05
3,482 Optimal Column Layout for Hybrid Workloads 2019 VLDB 7.0514808e-05
3,641 OceanBase: A 707 Million tpmC Distributed Relational Database System 2022 VLDB 6.8877808e-05
3,645 Autoscaling Tiered Cloud Storage in Anna 2019 VLDB 6.882432e-05
3,658 Towards a Hands-Free Query Optimizer through Deep Learning 2019 CIDR 6.8700949e-05
3,692 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 6.8328808e-05
3,920 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 6.6246708e-05
3,937 How to Build a Non-Volatile Memory Database Management System 2017 SIGMOD 6.6114468e-05
4,151 openGauss: An Autonomous Database System 2021 VLDB 6.4020605e-05
4,216 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 6.3448176e-05
4,227 Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine 2022 VLDB 6.3381409e-05
4,235 CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions 2021 VLDB 6.3297728e-05
4,547 Database-Agnostic Workload Management 2019 CIDR 6.0904384e-05
4,572 Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines 2020 VLDB 6.068399e-05
4,587 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.0594195e-05
4,592 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 6.056004e-05
4,687 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 5.9915268e-05
4,870 DBPA: A Benchmark for Transactional Database Performance Anomalies 2023 SIGMOD 5.8583776e-05
5,562 Fast Failure Recovery for Main-Memory DBMSs on Multicores 2017 SIGMOD 5.4343594e-05
5,853 ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency 2022 VLDB 5.2982336e-05
5,925 HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning 2023 VLDB 5.2669029e-05
6,241 Helios: Hyperscale Indexing for the Cloud & Edge 2020 VLDB 5.1357476e-05
6,298 Towards instance-optimized data systems 2021 VLDB 5.1182917e-05
6,394 Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty 2022 VLDB 5.0770427e-05
6,456 Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs 2021 VLDB 5.0505636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

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

Rank Cited Paper Year Venue Pagerank
160 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00040053897
237 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00031727601
258 DB2 Design Advisor: Integrated Automatic Physical Database Design 2004 VLDB 0.00030196528
283 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00029024583
285 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00028978423
407 Database Cracking 2007 CIDR 0.00023941779
423 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00023628474
517 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00021193179
528 Rethinking Database System Architecture: Towards a Self-tuning RISC-style Database System 2000 VLDB 0.0002085799
573 Workload-Aware Database Monitoring and Consolidation 2011 SIGMOD 0.00019886777
661 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00018488168
760 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.00017003914
841 Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering 2002 VLDB 0.00015987128
886 Automatic Virtual Machine Configuration for Database Workloads 2008 SIGMOD 0.00015563003
1,024 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00014601525
1,321 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012605455
1,697 Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads 2016 SIGMOD 0.00010859294
1,801 H2O: A Hands-free Adaptive Store 2014 SIGMOD 0.00010485628
2,239 Performance and Resource Modeling in Highly-Concurrent OLTP Workloads 2013 SIGMOD 9.2163469e-05
2,309 On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems 2012 VLDB 9.0630462e-05
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