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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
6.097047e-05
Overall Rank
5,938 | 58.74%
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
1,768 High-Throughput Vector Similarity Search in Knowledge Graphs 2023 SIGMOD 9.8752116e-05
3,940 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 7.0722403e-05
5,074 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 6.4411546e-05
8,100 The Case for Learned In-Memory Joins 2023 VLDB 5.5455315e-05
9,286 Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs 2024 SIGMOD 5.3541789e-05
9,778 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 5.2743647e-05
9,821 PLATON: Top-down R-tree Packing with Learned Partition Policy 2023 SIGMOD 5.2648912e-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
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010926229
45 The Case for Learned Index Structures 2018 SIGMOD 0.0004530684
85 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00035865404
86 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.0003577267
89 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00035598024
99 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034651834
109 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00033336286
126 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00031179787
154 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00028960058
157 Neo: A Learned Query Optimizer 2019 VLDB 0.00028782395
198 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00025889827
238 Self-Driving Database Management Systems 2017 CIDR 0.00024001206
243 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00023745788
342 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00020771604
377 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00019763016
394 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019400224
411 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019014394
462 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001813892
485 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00017714392
493 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00017600244
516 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017281242
524 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017177356
569 SageDB: A Learned Database System 2019 CIDR 0.00016472308
610 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.00015866134
651 Building a Database on S3 2008 SIGMOD 0.0001542467
838 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.0001375596
915 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013295102
923 Benchmarking Learned Indexes 2021 VLDB 0.00013252326
943 ARIES/IM: An Efficient and High Concurrency Index Management Method Using Write-Ahead Logging 1992 SIGMOD 0.00013108901
1,154 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00012006358
1,187 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011849604
1,217 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011709392
1,280 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.0001144289
1,324 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.0001126122
1,709 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.0001004117
1,742 Updatable Learned Index with Precise Positions 2021 VLDB 9.9382185e-05
1,816 On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems 2012 VLDB 9.7805779e-05
1,925 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 9.5601154e-05
1,931 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.5483519e-05
3,068 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.859091e-05
3,114 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 7.79794e-05
3,149 DeepSqueeze: Deep Semantic Compression for Tabular Data 2020 SIGMOD 7.7622766e-05
3,292 CDFShop: Exploring and Optimizing Learned Index Structures 2020 SIGMOD 7.6154829e-05
3,825 The Case for a Learned Sorting Algorithm 2020 SIGMOD 7.1511577e-05
4,291 Stable Learned Bloom Filters for Data Streams 2020 VLDB 6.849278e-05
4,417 One Model to Rule them All: Towards Zero-Shot Learning for Databases 2022 CIDR 6.7766173e-05
4,637 Hist-Tree: Those Who Ignore It Are Doomed to Learn 2021 CIDR 6.6558829e-05
5,401 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 6.30051e-05
5,741 Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems 2019 VLDB 6.1656808e-05
5,909 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 6.106668e-05
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