DBScholar

Back to papers

Towards instance-optimized data systems

Summary: Progress report on ML-for-systems research toward instance-optimized data systems that learn workload and data distributions to self-tune algorithms and structures. Assesses practical deployment readiness through DSAIL/MIT projects, beyond lab-scale performance claims. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12721
Venue
VLDB
Year
2021
Pagerank
6.0230488e-05
Overall Rank
5,974 | 59.02%
DOI
10.14778/3476311.3476392

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kraska_vldb21,
        title = {{Towards instance-optimized data systems}},
        author = {Kraska, Tim},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {12},
        pages = {3222--3232},
        doi = {10.14778/3476311.3476392},
        url = {https://doi.org/10.14778/3476311.3476392},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 50 of 51 cited papers.

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

Rank Cited Paper Year Venue Pagerank
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010828372
43 The Case for Learned Index Structures 2018 SIGMOD 0.00046060254
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
86 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00035316107
87 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00035281619
100 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034385207
103 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00034161428
126 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00030779127
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
156 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00028636811
199 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00025612088
234 Self-Driving Database Management Systems 2017 CIDR 0.00023810722
246 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00023457421
347 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00020651582
378 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019638121
387 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00019442332
401 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019092557
447 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018322593
465 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001803934
477 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017851226
498 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00017440583
513 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017190574
568 SageDB: A Learned Database System 2019 CIDR 0.0001641553
625 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.0001566968
662 Building a Database on S3 2008 SIGMOD 0.00015176173
790 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.0001401445
847 Benchmarking Learned Indexes 2021 VLDB 0.0001365768
873 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013481915
958 ARIES/IM: An Efficient and High Concurrency Index Management Method Using Write-Ahead Logging 1992 SIGMOD 0.00012956148
1,135 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00012032847
1,170 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011827259
1,174 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011817414
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011361878
1,344 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011094717
1,551 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010381398
1,686 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010008686
1,831 On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems 2012 VLDB 9.6635729e-05
1,876 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.5717543e-05
1,942 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 9.4451535e-05
2,910 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.9700885e-05
3,035 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 7.8297746e-05
3,092 DeepSqueeze: Deep Semantic Compression for Tabular Data 2020 SIGMOD 7.7679406e-05
3,152 CDFShop: Exploring and Optimizing Learned Index Structures 2020 SIGMOD 7.7003613e-05
3,865 The Case for a Learned Sorting Algorithm 2020 SIGMOD 7.0621718e-05
4,073 Stable Learned Bloom Filters for Data Streams 2020 VLDB 6.9242783e-05
4,468 One Model to Rule them All: Towards Zero-Shot Learning for Databases 2022 CIDR 6.6819041e-05
4,660 Hist-Tree: Those Who Ignore It Are Doomed to Learn 2021 CIDR 6.5797541e-05
5,059 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 6.3807509e-05
5,865 Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems 2019 VLDB 6.0619534e-05
5,978 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 6.0212877e-05
Previous Page 1 / 2 Next

Semantically Similar Papers