P-Store: An Elastic Database System with Predictive Provisioning
Summary: P-Store is the first elastic OLTP DBMS to use predictive provisioning. On B2W's workload, it reduces latency violations by 72% vs reactive systems and matches peak-demand static allocation with 50% fewer servers. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rebecca Taft (Cockroach Labs; Massachusetts Institute of Technology)
- 2. Nosayba El-Sayed (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 3. Marco Serafini (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 4. Yu Lu (University of Illinois Urbana-Champaign)
- 5. Ashraf Aboulnaga (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 6. Michael Stonebraker (Massachusetts Institute of Technology)
- 7. Ricardo Mayerhofer (B2W Digital)
- 8. Francisco Andrade (B2W Digital)
BibTeX Citation
@inproceedings{taft_sigmod18,
title = {{P-Store: An Elastic Database System with Predictive Provisioning}},
author = {Taft, Rebecca and El-Sayed, Nosayba and Serafini, Marco and Lu, Yu and Aboulnaga, Ashraf and Stonebraker, Michael and Mayerhofer, Ricardo and Andrade, Francisco},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3190650},
url = {https://dl.acm.org/doi/10.1145/3183713.3190650},
year = {2018}
}
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| 7 | 83 | H-Store: A High-Performance, Distributed Main Memory Transaction Processing System | 2008 | VLDB |
| 8 | 1,831 | On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems | 2012 | VLDB |
| 9 | 3,658 | P*TIME: Highly Scalable OLTP DBMS for Managing Update-Intensive Stream Workload | 2004 | VLDB |
| 10 | 887 | E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing Systems | 2015 | VLDB |