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
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Authors
- 1. Sabah Currim
- 2. Richard T. Snodgrass
- 3. Young-Kyoon Suh
- 4. Rui Zhang
- 5. Matthew Wong Johnson
- 6. Cheng Yi
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,995 | AZDBLab: A Laboratory Information System for Large-Scale Empirical DBMS Studies | 2014 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 124 | DBMSs On A Modern Processor: Where Does Time Go? | 1999 | VLDB | 0.00045103515 |
| 182 | LEO - DB2's LEarning Optimizer | 2001 | VLDB | 0.00036962631 |
| 6,920 | Towards Cost-Effective Storage Provisioning for DBMSs | 2012 | VLDB | 4.8925595e-05 |
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