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Energy-Utility Function-Based Resource Control for In-Memory Database Systems LIVE

Summary: Energy-utility functions enable OS-level resource control for scalable in-memory DBMS, targeting energy-performance trade-offs at CPU and memory. Demo shows workload and hardware-switching to reveal energy-efficiency gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5577
Venue
SIGMOD
Year
2018
Pagerank
5.093636e-05
Overall Rank
11,922 | 18.21%
DOI
10.1145/3183713.3193554

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Authors

BibTeX Citation

@inproceedings{kissinger_sigmod18,
        title = {{Energy-Utility Function-Based Resource Control for In-Memory Database Systems LIVE}},
        author = {Kissinger, Thomas and Hähnel, Marcus and Smejkal, Till and Habich, Dirk and Härtig, Hermann and Lehner, Wolfgang},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193554},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193554},
        year = {2018}
}

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

Rank Cited Paper Year Venue Pagerank
256 Data-Oriented Transaction Execution 2010 VLDB 0.00023172982
9,858 Adaptive Energy-Control for In-Memory Database Systems 2018 SIGMOD 5.2061847e-05
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