Database Paper Browser

Back to papers

Towards instance-optimized data systems

Summary: ML-driven, instance-optimized data systems that self-tune to workload and data distribution. Progress report from MIT-DSAIL on ML for Systems, assessing readiness and deployment, with focus on optimization, indexing, storage layouts, scheduling, sorting, compression, and sketches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12533
Venue
VLDB
Year
2021
Pagerank
5.1227886e-05
Overall Rank
6,297 | 56.20%
DOI
10.14778/3476311.3476392

Incoming Non-self Citations Over Time

Authors

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
7 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0015496097
102 The Case for Learned Index Structures 2018 SIGMOD 0.00049545203
158 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00040071492
182 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036962631
183 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036721403
185 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00036538405
204 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034784455
209 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00034468292
237 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00031726304
285 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.0002899128
286 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00028990057
333 Neo: A Learned Query Optimizer 2019 VLDB 0.00027206884
359 Self-Driving Database Management Systems 2017 CIDR 0.0002592783
424 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00023616398
516 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00021196031
640 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00018759152
720 Building a Database on S3 2008 SIGMOD 0.00017615431
758 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.0001706608
765 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.00017016449
782 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00016729063
801 SageDB: A Learned Database System 2019 CIDR 0.00016505496
806 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00016434274
826 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00016224841
857 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00015882892
910 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00015423056
1,088 ARIES/IM: An Efficient and High Concurrency Index Management Method Using Write-Ahead Logging 1992 SIGMOD 0.00014161003
1,375 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.00012303141
1,460 Benchmarking Learned Indexes 2021 VLDB 0.00011887068
1,478 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00011762542
1,611 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00011147324
1,737 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00010720294
1,827 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00010390548
1,855 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00010315245
1,889 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00010200865
1,902 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010157713
2,307 On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems 2012 VLDB 9.0599752e-05
2,552 Updatable Learned Index with Precise Positions 2021 VLDB 8.5530411e-05
2,606 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 8.4645832e-05
2,783 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 8.1293383e-05
3,745 DeepSqueeze: Deep Semantic Compression for Tabular Data 2020 SIGMOD 6.7926132e-05
3,779 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 6.7747205e-05
4,060 CDFShop: Exploring and Optimizing Learned Index Structures 2020 SIGMOD 6.4836825e-05
4,084 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 6.4622113e-05
4,097 The Case for a Learned Sorting Algorithm 2020 SIGMOD 6.4551616e-05
4,446 Stable Learned Bloom Filters for Data Streams 2020 VLDB 6.1800659e-05
5,157 Hist-Tree: Those Who Ignore It Are Doomed to Learn 2021 CIDR 5.6589595e-05
5,258 One Model to Rule them All: Towards Zero-Shot Learning for Databases 2022 CIDR 5.5998705e-05
6,040 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 5.2412035e-05
6,268 Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems 2019 VLDB 5.133857e-05
6,456 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 5.0564619e-05
Previous Page 1 / 2 Next

Semantically Similar Papers