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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
12534
Venue
VLDB
Year
2021
Pagerank
5.1182917e-05
Overall Rank
6,298 | 56.23%
DOI
10.14778/3476311.3476392

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank Citing Paper Year Venue Pagerank
2,321 High-Throughput Vector Similarity Search in Knowledge Graphs 2023 SIGMOD 9.0359336e-05
4,687 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 5.9915268e-05
5,682 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 5.3752251e-05
8,411 The Case for Learned In-Memory Joins 2023 VLDB 4.5151296e-05
9,351 Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs 2024 SIGMOD 4.3490308e-05
9,787 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 4.2799988e-05
9,826 PLATON: Top-down R-tree Packing with Learned Partition Policy 2023 SIGMOD 4.2710095e-05
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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
8 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0015436578
101 The Case for Learned Index Structures 2018 SIGMOD 0.00049778866
160 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00040053897
181 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036970794
183 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036859633
185 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00036529607
203 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034868567
208 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00034478612
237 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00031727601
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
329 Neo: A Learned Query Optimizer 2019 VLDB 0.00027301488
371 Self-Driving Database Management Systems 2017 CIDR 0.00025382677
423 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00023628474
517 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00021193179
634 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00018844568
715 Building a Database on S3 2008 SIGMOD 0.00017636409
752 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00017138049
760 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.00017003914
779 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00016719473
796 SageDB: A Learned Database System 2019 CIDR 0.00016541749
804 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001643674
819 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00016237497
844 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00015964123
905 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00015423174
1,087 ARIES/IM: An Efficient and High Concurrency Index Management Method Using Write-Ahead Logging 1992 SIGMOD 0.00014159274
1,365 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.00012379754
1,438 Benchmarking Learned Indexes 2021 VLDB 0.00011965956
1,464 Learning Multi-dimensional Indexes 2020 SIGMOD 0.0001184772
1,608 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00011169837
1,727 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00010731889
1,816 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00010438512
1,856 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00010319105
1,887 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00010201938
1,892 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010176219
2,309 On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems 2012 VLDB 9.0630462e-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
2,781 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 8.1282042e-05
3,741 DeepSqueeze: Deep Semantic Compression for Tabular Data 2020 SIGMOD 6.7952067e-05
3,777 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 6.7713324e-05
3,945 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 6.605467e-05
4,069 CDFShop: Exploring and Optimizing Learned Index Structures 2020 SIGMOD 6.4744708e-05
4,086 The Case for a Learned Sorting Algorithm 2020 SIGMOD 6.4579358e-05
4,448 Stable Learned Bloom Filters for Data Streams 2020 VLDB 6.1741316e-05
5,154 Hist-Tree: Those Who Ignore It Are Doomed to Learn 2021 CIDR 5.6548237e-05
5,250 One Model to Rule them All: Towards Zero-Shot Learning for Databases 2022 CIDR 5.6007779e-05
5,994 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 5.2367998e-05
6,265 Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems 2019 VLDB 5.1294788e-05
6,440 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 5.0546781e-05
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