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)
Incoming Non-self Citations Over Time
Authors
- 1. Tim Kraska
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 1 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 |
|---|---|---|---|---|
| 6,182 | A Critical Analysis of Recursive Model Indexes | 2022 | VLDB | 6.0232833e-05 |
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,526 | Database Systems Research on Data Mining | 2010 | SIGMOD | - |
| 8,194 | Deep Learning: Systems and Responsibility | 2021 | SIGMOD | 5.5370263e-05 |
| 5,858 | Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra | 2021 | SIGMOD | 6.1254857e-05 |
| 1,294 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD | 0.00011355506 |
| 10,847 | Machine Learning for Graph Data Management and Query Processing | 2025 | VLDB | 5.1725247e-05 |
| 4,885 | Machine Learning for Big Data | 2013 | SIGMOD | 6.5252891e-05 |
| 8,212 | SageDB: An Instance-Optimized Data Analytics System | 2022 | VLDB | 5.534262e-05 |
| 5,283 | Machine Learning for Databases | 2021 | VLDB | 6.3568612e-05 |
| 13,185 | Reimagining Deep Learning Systems Through the Lens of Data Systems | 2024 | VLDB | - |
| 5,909 | From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems | 2019 | SIGMOD | 6.106668e-05 |