DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud
Summary: Claims VM-based approaches insufficient for cloud DB pricing, tenant isolation, and performance optimization, advocating accurate predictive models of resource use and performance. Introduces DBSeer, a framework with initial predictors for OLTP/Web workloads that drive pricing, isolation and optimization decisions. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Barzan Mozafari (Massachusetts Institute of Technology)
- 2. Carlo Curino (Microsoft)
- 3. Samuel Madden (Massachusetts Institute of Technology)
BibTeX Citation
@inproceedings{mozafari_cidr13,
address = {Amsterdam, Netherlands},
series = {{CIDR} '13},
title = {{DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Mozafari, Barzan and Curino, Carlo and Madden, Samuel},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 17 of 17 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 585 | Workload-Aware Database Monitoring and Consolidation | 2011 | SIGMOD | 0.00015949541 |
| 629 | Performance Prediction for Concurrent Database Workloads | 2011 | SIGMOD | 0.00015429949 |
| 641 | Relational Cloud: A Database-as-a-Service for the Cloud | 2011 | CIDR | 0.00015255418 |
| 1,939 | Performance and Resource Modeling in Highly-Concurrent OLTP Workloads | 2013 | SIGMOD | 9.3331247e-05 |
| 2,106 | iCBS: Incremental Cost-based Scheduling under Piecewise Linear SLAs | 2011 | VLDB | 9.0316322e-05 |
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