APOLLO: Automatic Detection and Diagnosis of Performance Regressions in Database Systems
Summary: APOLLO automates detection, reporting, and diagnosis of performance regressions in DBMSs. It automatically generates regression-triggering queries, streamlines user bug reports, and helps developers localize root causes, reducing development labor. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jinho Jung (Georgia Institute of Technology)
- 2. Hong Hu (Georgia Institute of Technology)
- 3. Joy Arulraj (Georgia Institute of Technology)
- 4. Taesoo Kim (Georgia Institute of Technology)
- 5. Woonhak Kang (eBay)
BibTeX Citation
@article{jung_vldb20,
title = {{APOLLO: Automatic Detection and Diagnosis of Performance Regressions in Database Systems}},
author = {Jung, Jinho and Hu, Hong and Arulraj, Joy and Kim, Taesoo and Kang, Woonhak},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {1},
pages = {57--70},
doi = {10.14778/3357377.3357382},
url = {https://doi.org/10.14778/3357377.3357382},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
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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 |
|---|---|---|---|---|
| 109 | Extensible/Rule Based Query Rewrite Optimization in Starburst | 1992 | SIGMOD | 0.00032757423 |
| 276 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.00022332903 |
| 383 | Massive Stochastic Testing of SQL | 1998 | VLDB | 0.00019474868 |
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