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Adaptive Energy-Control for In-Memory Database Systems

Summary: Adaptive energy-control for scale-up in-memory DBMS via Energy-Control Loop (ECL) that tunes energy under a soft latency bound. Runtime adaptive energy profiles leverage processor/memory power features to deliver 20–40% energy savings on real workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5538
Venue
SIGMOD
Year
2018
Pagerank
5.2061847e-05
Overall Rank
9,858 | 32.37%
DOI
10.1145/3183713.3183756

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kissinger_sigmod18,
        title = {{Adaptive Energy-Control for In-Memory Database Systems}},
        author = {Kissinger, Thomas and Habich, Dirk and Lehner, Wolfgang},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3183756},
        url = {https://dl.acm.org/doi/10.1145/3183713.3183756},
        year = {2018}
}

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