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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Sabah Currim (University of Arizona)
- 2. Richard T. Snodgrass (University of Arizona)
- 3. Young-Kyoon Suh (University of Arizona)
- 4. Rui Zhang (Teradata)
- 5. Matthew Wong Johnson (University of California San Diego)
- 6. Cheng Yi (University of Arizona)
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 |
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