WattDB: An Energy-Proportional Cluster of Wimpy Nodes
Summary: WattDB demonstrates an energy-proportional DBMS on a cluster of commodity, wimpy nodes. It dynamically powers nodes according to workload, enabling real-time power-aware scaling and interactive workload adjustment. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Schall (Technical University of Kaiserslautern)
- 2. Volker Hudlet (Technical University of Kaiserslautern)
BibTeX Citation
@inproceedings{schall_sigmod11,
title = {{WattDB: An Energy-Proportional Cluster of Wimpy Nodes}},
author = {Schall, Daniel and Hudlet, Volker},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989461},
url = {https://dl.acm.org/doi/10.1145/1989323.1989461},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,226 | Green Databases Through Integration of Renewable Energy | 2013 | CIDR | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 883 | Analyzing the Energy Efficiency of a Database Server | 2010 | SIGMOD | 0.00013421859 |
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