Workload-Aware CPU Performance Scaling for Transactional Database Systems
Summary: POLARIS directly controls processor DVFS and DB transaction scheduling to minimize power while meeting latency. By exploiting workload knowledge, it outperforms OS DVFS governors in power and latency for mixed, fluctuating transactional workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mustafa Korkmaz (University of Waterloo)
- 2. Martin Karsten (University of Waterloo)
- 3. Kenneth Salem (University of Waterloo)
- 4. Semih Salihoglu (University of Waterloo)
BibTeX Citation
@inproceedings{korkmaz_sigmod18,
title = {{Workload-Aware CPU Performance Scaling for Transactional Database Systems}},
author = {Korkmaz, Mustafa and Karsten, Martin and Salem, Kenneth and Salihoglu, Semih},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3196901},
url = {https://dl.acm.org/doi/10.1145/3183713.3196901},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,931 | DimmStore: Memory Power Optimization for Database Systems | 2019 | VLDB | 5.3483178e-05 |
| 10,830 | PlanRGCN: Predicting SPARQL Query Performance | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 624 | Performance Prediction for Concurrent Database Workloads | 2011 | SIGMOD | 0.00015683402 |
| 883 | Analyzing the Energy Efficiency of a Database Server | 2010 | SIGMOD | 0.00013421859 |
| 1,054 | Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads | 2012 | VLDB | 0.00012390673 |
| 3,104 | Energy Management for MapReduce Clusters | 2010 | VLDB | 7.7552953e-05 |
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