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DBMS Metrology: Measuring Query Time

Summary: Presents Tucson Protocol: a causal model tying OS/kernel metrics to DBMS query time, with sanity checks and predicate-based pruning to yield a single justified timing. Delivers 1.2% resolution across runs, enabling more accurate measurements for DBMS. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4800
Venue
SIGMOD
Year
2013
Pagerank
5.093636e-05
Overall Rank
12,254 | 15.93%
DOI
10.1145/2463676.2465331

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{currim_sigmod13,
        title = {{DBMS Metrology: Measuring Query Time}},
        author = {Currim, Sabah and Snodgrass, Richard T. and Suh, Young-Kyoon and Zhang, Rui and Johnson, Matthew Wong and Yi, Cheng},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465331},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465331},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,193 AZDBLab: A Laboratory Information System for Large-Scale Empirical DBMS Studies 2014 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
100 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034385207
109 DBMSs On A Modern Processor: Where Does Time Go? 1999 VLDB 0.000331207
7,525 Towards Cost-Effective Storage Provisioning for DBMSs 2012 VLDB 5.6029996e-05
Previous Page 1 / 1 Next

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