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Towards Energy-Efficient Database Cluster Design

Summary: Empirical exploration of the architectural design space for energy-efficient parallel DBMS clusters, focusing on scaling bottlenecks and energy-hardware tradeoffs. Proposes a bottleneck-centric model to guide energy-aware cluster design in large-scale data management. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hba499293913a16a1
Venue
VLDB
Year
2012
Pagerank
5.900701e-05
Overall Rank
6,057 | 59.28%
DOI
10.14778/2350229.2350280

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lang_vldb12,
        title = {{Towards Energy-Efficient Database Cluster Design}},
        author = {Lang, Willis and Harizopoulos, Stavros and Patel, Jignesh M. and Shah, Mehul A. and Tsirogiannis, Dimitris},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {11},
        pages = {1684--1695},
        doi = {10.14778/2350229.2350280},
        url = {https://doi.org/10.14778/2350229.2350280},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
10,049 Adaptive Energy-Control for In-Memory Database Systems 2018 SIGMOD 5.0895106e-05
12,373 An Experimental Evaluation of Datacenter Workloads On Low-Power Embedded Micro Servers 2016 VLDB 4.9793485e-05
12,517 Green Databases Through Integration of Renewable Energy 2013 CIDR 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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