Towards instance-optimized data systems
Summary: Progress report on ML-for-systems research toward instance-optimized data systems that learn workload and data distributions to self-tune algorithms and structures. Assesses practical deployment readiness through DSAIL/MIT projects, beyond lab-scale performance claims. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tim Kraska (Massachusetts Institute of Technology)
BibTeX Citation
@article{kraska_vldb21,
title = {{Towards instance-optimized data systems}},
author = {Kraska, Tim},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {3222--3232},
doi = {10.14778/3476311.3476392},
url = {https://doi.org/10.14778/3476311.3476392},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,373 | High-Throughput Vector Similarity Search in Knowledge Graphs | 2023 | SIGMOD | 0.0001088854 |
| 3,949 | Deploying a Steered Query Optimizer in Production at Microsoft | 2022 | SIGMOD | 6.9052796e-05 |
| 5,041 | LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems | 2022 | SIGMOD | 6.3006152e-05 |
| 8,403 | The Case for Learned In-Memory Joins | 2023 | VLDB | 5.3389852e-05 |
| 9,593 | Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs | 2024 | SIGMOD | 5.156392e-05 |
| 10,043 | The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format | 2024 | SIGMOD | 5.0921006e-05 |
| 10,168 | PLATON: Top-down R-tree Packing with Learned Partition Policy | 2023 | SIGMOD | 5.0682654e-05 |
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.
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 14,024 | Database Systems Research on Data Mining | 2010 | SIGMOD |
| 2 | 8,480 | Deep Learning: Systems and Responsibility | 2021 | SIGMOD |
| 3 | 6,169 | Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra | 2021 | SIGMOD |
| 4 | 1,255 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD |
| 5 | 9,073 | Machine Learning for Graph Data Management and Query Processing | 2025 | VLDB |
| 6 | 4,938 | Machine Learning for Big Data | 2013 | SIGMOD |
| 7 | 7,598 | SageDB: An Instance-Optimized Data Analytics System | 2022 | VLDB |
| 8 | 4,741 | Machine Learning for Databases | 2021 | VLDB |
| 9 | 13,689 | Reimagining Deep Learning Systems Through the Lens of Data Systems | 2024 | VLDB |
| 10 | 6,080 | From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems | 2019 | SIGMOD |