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 |
|---|---|---|---|---|
| 2,320 | High-Throughput Vector Similarity Search in Knowledge Graphs | 2023 | SIGMOD | 9.0366225e-05 |
| 4,690 | Deploying a Steered Query Optimizer in Production at Microsoft | 2022 | SIGMOD | 5.997226e-05 |
| 5,671 | LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems | 2022 | SIGMOD | 5.3803919e-05 |
| 8,417 | The Case for Learned In-Memory Joins | 2023 | VLDB | 4.5194164e-05 |
| 9,346 | Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs | 2024 | SIGMOD | 4.3532026e-05 |
| 9,806 | The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format | 2024 | SIGMOD | 4.2805224e-05 |
| 9,827 | PLATON: Top-down R-tree Packing with Learned Partition Policy | 2023 | SIGMOD | 4.2751057e-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.
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,513 | Database Systems Research on Data Mining | 2010 | SIGMOD | - |
| 8,346 | Deep Learning: Systems and Responsibility | 2021 | SIGMOD | 4.5420668e-05 |
| 6,191 | Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra | 2021 | SIGMOD | 5.1642282e-05 |
| 1,532 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD | 0.00011472681 |
| 10,843 | Machine Learning for Graph Data Management and Query Processing | 2025 | VLDB | 4.1945683e-05 |
| 4,906 | Machine Learning for Big Data | 2013 | SIGMOD | 5.8389053e-05 |
| 8,442 | SageDB: An Instance-Optimized Data Analytics System | 2022 | VLDB | 4.5120602e-05 |
| 5,861 | Machine Learning for Databases | 2021 | VLDB | 5.298883e-05 |
| 13,171 | Reimagining Deep Learning Systems Through the Lens of Data Systems | 2024 | VLDB | - |
| 6,456 | From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems | 2019 | SIGMOD | 5.0564619e-05 |