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Energy Efficiency: The New Holy Grail of Data Management Systems Research

Summary: Argues that energy efficiency in data centers requires database-system–level solutions, not just hardware changes, and demonstrates potential savings via two simple experiments. Identifies DBMS hotspots (query execution, storage, buffer/resource management) and urges energy-aware research. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
110
Venue
CIDR
Year
2009
Pagerank
8.6866058e-05
Overall Rank
2,482 | 82.74%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank Citing Paper Year Venue Pagerank
570 Workload-Aware Database Monitoring and Consolidation 2011 SIGMOD 0.00019922274
694 Analyzing the Energy Efficiency of a Database Server 2010 SIGMOD 0.00018061803
1,653 Query Processing Techniques for Solid State Drives 2009 SIGMOD 0.00011003558
1,840 dbTouch: Analytics at your Fingertips 2013 CIDR 0.0001034905
3,180 Energy Management for MapReduce Clusters 2010 VLDB 7.4302009e-05
6,061 Towards Energy-Efficient Database Cluster Design 2012 VLDB 5.2304505e-05
9,721 Adaptive Energy-Control for In-Memory Database Systems 2018 SIGMOD 4.2965439e-05
11,838 Energy Elasticity on Heterogeneous Hardware using Adaptive Resource Reconfiguration LIVE 2016 SIGMOD 4.1945683e-05
12,029 Green Databases Through Integration of Renewable Energy 2013 CIDR 4.1945683e-05
12,203 Resiliency-Aware Data Management 2011 VLDB 4.1945683e-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.

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