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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)
- Paper ID
- 5484
- Venue
- SIGMOD
- Year
- 2018
- Pagerank
- 0.00011660631
- Overall Rank
- 1,498 | 89.60%
- DOI
-
10.1145/3183713.3190650
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 27 of 27 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,721 |
Cloud-Native Database Systems at Alibaba: Opportunities and Challenges |
2019 |
VLDB |
0.00010741822 |
| 2,376 |
Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless |
2022 |
VLDB |
8.9367999e-05 |
| 3,466 |
AI Meets Database: AI4DB and DB4AI |
2021 |
SIGMOD |
7.0645718e-05 |
| 3,692 |
iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases |
2019 |
VLDB |
6.8328808e-05 |
| 3,995 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
6.5475871e-05 |
| 4,110 |
RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection |
2021 |
SIGMOD |
6.4358092e-05 |
| 4,447 |
MorphoSys: Automatic Physical Design Metamorphosis for Distributed Database Systems |
2020 |
VLDB |
6.1745324e-05 |
| 4,615 |
Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud |
2023 |
VLDB |
6.0410647e-05 |
| 4,799 |
Towards Dynamic and Safe Configuration Tuning for Cloud Databases |
2022 |
SIGMOD |
5.9082876e-05 |
| 6,788 |
Proteus: Autonomous Adaptive Storage for Mixed Workloads |
2022 |
SIGMOD |
4.9207259e-05 |
| 7,044 |
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation |
2021 |
VLDB |
4.8475963e-05 |
| 7,397 |
Intermittent Query Processing |
2019 |
VLDB |
4.7367491e-05 |
| 7,497 |
Dendrite: Bolt-on Adaptivity for Data Systems |
2021 |
SIGMOD |
4.7135369e-05 |
| 7,699 |
Resource-efficient Shared Query Execution via Exploiting Time Slackness |
2021 |
SIGMOD |
4.6696504e-05 |
| 7,809 |
Sibyl: Forecasting Time-Evolving Query Workloads |
2024 |
SIGMOD |
4.6415559e-05 |
| 8,049 |
Thrifty Query Execution via Incrementability |
2020 |
SIGMOD |
4.5939412e-05 |
| 8,346 |
A system design for elastically scaling transaction processing engines in virtualized servers |
2020 |
VLDB |
4.5359349e-05 |
| 8,357 |
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools |
2023 |
SIGMOD |
4.5325029e-05 |
| 8,714 |
Tiresias: Enabling Predictive Autonomous Storage and Indexing |
2022 |
VLDB |
4.457682e-05 |
| 8,854 |
Optimizing the cloud? Don't train models. Build oracles! |
2024 |
CIDR |
4.4306537e-05 |
| 9,792 |
Eigen+: Memory Over-Subscription for Alibaba Cloud Databases |
2025 |
SIGMOD |
4.2777144e-05 |
| 9,916 |
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes |
2023 |
VLDB |
4.2520778e-05 |
| 10,411 |
ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,934 |
Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless |
2024 |
SIGMOD |
4.1905499e-05 |
| 10,935 |
Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB |
2024 |
SIGMOD |
4.1905499e-05 |
| 10,969 |
Lorentz: Learned SKU Recommendation Using Profile Data (DMDS) |
2024 |
SIGMOD |
4.1905499e-05 |
| 11,084 |
Towards Millions of Database Transmission Services in the Cloud |
2024 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 136 |
H-Store: A High-Performance, Distributed Main Memory Transaction Processing System |
2008 |
VLDB |
0.00042409816 |
| 887 |
Zephyr: Live Migration in Shared Nothing Databases for Elastic Cloud Platforms |
2011 |
SIGMOD |
0.00015561082 |
| 1,091 |
E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing Systems |
2015 |
VLDB |
0.00014133147 |
| 1,120 |
Albatross: Lightweight Elasticity in Shared Storage Databases for the Cloud using Live Data Migration |
2011 |
VLDB |
0.00013846732 |
| 2,236 |
PerfEnforce Demonstration: Data Analytics with Performance Guarantees |
2016 |
SIGMOD |
9.2198891e-05 |
| 2,478 |
Identifying Similarities, Periodicities and Bursts for Online Search Queries |
2004 |
SIGMOD |
8.6866662e-05 |
| 2,940 |
Squall: Fine-Grained Live Reconfiguration for Partitioned Main Memory Databases |
2015 |
SIGMOD |
7.8508808e-05 |
| 3,006 |
Clay: Fine-Grained Adaptive Partitioning for General Database Schemas |
2017 |
VLDB |
7.7285127e-05 |
| 3,650 |
Accordion: Elastic Scalability for Database Systems Supporting Distributed Transactions |
2014 |
VLDB |
6.8746996e-05 |
| 7,132 |
Incremental Elasticity For Array Databases |
2014 |
SIGMOD |
4.817779e-05 |
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