Optimizing In-memory Database Engine for AI-powered On-line Decision Augmentation Using Persistent Memory
Summary: FEDB, a distributed in-memory DB for OLDA feature extraction, delivers 1–2 orders of magnitude faster performance than prior DBs. PMEM-optimized persistent skiplist cuts tail latency to 19.7%, recovery time to 99.7%, and OLDA cost to 58.4%. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Cheng Chen (4Paradigm Inc.; National University of Singapore)
- 2. Jun Yang (4Paradigm Inc.)
- 3. Mian Lu (4Paradigm Inc.)
- 4. Taize Wang (4Paradigm Inc.)
- 5. Zhao Zheng (4Paradigm Inc.)
- 6. Yuqiang Chen (4Paradigm Inc.)
- 7. Wenyuan Dai (4Paradigm Inc.)
- 8. Bingsheng He (National University of Singapore)
- 9. Weng-Fai Wong (National University of Singapore)
- 10. Guoan Wu (Intel)
- 11. Yuping Zhao (Intel)
- 12. Andy Rudoff (Intel)
BibTeX Citation
@article{chen_vldb21,
title = {{Optimizing In-memory Database Engine for AI-powered On-line Decision Augmentation Using Persistent Memory}},
author = {Chen, Cheng and Yang, Jun and Lu, Mian and Wang, Taize and Zheng, Zhao and Chen, Yuqiang and Dai, Wenyuan and He, Bingsheng and Wong, Weng-Fai and Wu, Guoan and Zhao, Yuping and Rudoff, Andy},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {5},
pages = {799--812},
doi = {10.14778/3446095.3446102},
url = {https://doi.org/10.14778/3446095.3446102},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,774 | Optimizing Data Pipelines for Machine Learning in Feature Stores | 2023 | VLDB | 5.9959266e-05 |
| 6,882 | Evaluating Persistent Memory Range Indexes: Part Two | 2022 | VLDB | 5.6554818e-05 |
| 7,983 | Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines | 2024 | VLDB | 5.4111208e-05 |
| 8,089 | Krypton: Real-time Serving and Analytical SQL Engine at ByteDance | 2023 | VLDB | 5.3917406e-05 |
| 9,189 | FEBench: A Benchmark for Real-Time Relational Data Feature Extraction | 2023 | VLDB | 5.2097224e-05 |
| 11,805 | ADOps: An Anomaly Detection Pipeline in Structured Logs | 2023 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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