DIADS: A Problem Diagnosis Tool for Databases and Storage Area Networks
Summary: DIADS introduces Annotated Plan Graphs (APGs) to tie a database query's execution path to SAN run-time telemetry via low-overhead monitors. Its diagnosis workflow fuses domain knowledge with machine learning to locate cross-layer root causes in database + storage networks. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Nedyalko Borisov (Duke University)
- 2. Shivnath Babu (Duke University)
- 3. Sandeep Uttamchandani (IBM)
- 4. Ramani Routray (IBM)
- 5. Aameek Singh (IBM)
BibTeX Citation
@article{borisov_vldb09,
title = {{DIADS: A Problem Diagnosis Tool for Databases and Storage Area Networks}},
author = {Borisov, Nedyalko and Babu, Shivnath and Uttamchandani, Sandeep and Routray, Ramani and Singh, Aameek},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687553.1687587},
url = {https://doi.org/10.14778/1687553.1687587},
year = {2009}
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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 |
|---|---|---|---|---|
| 4,958 | Why Did My Query Slow Down? | 2009 | CIDR | 6.428827e-05 |
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