AZDBLab: A Laboratory Information System for Large-Scale Empirical DBMS Studies
Summary: AZDBLab, a DBMS-oriented laboratory for large-scale empirical studies across multiple DBMSs. Enables large-scale, cross-DBMS experiments on optimizer behavior with automated analysis of thousands to millions of queries, using Tucson Timing Protocol timing checks, via standalone and mobile apps. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Young-Kyoon Suh
- 2. Richard T. Snodgrass
- 3. Rui Zhang
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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 |
|---|---|---|---|---|
| 1,070 | Analyzing Plan Diagrams of Database Query Optimizers | 2005 | VLDB | 0.00014316791 |
| 12,056 | DBMS Metrology: Measuring Query Time | 2013 | SIGMOD | 4.1945683e-05 |
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