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DBPA: A Benchmark for Transactional Database Performance Anomalies
Summary: DBPA: OLTP transactional anomaly benchmark enabling reproducible generation and ML-ready data. Nine root causes with reproducible procedures; compound anomalies via a generative method; large normal/anomalous monitoring data for ML diagnosis.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6576
- Venue
- SIGMOD
- Year
- 2023
- Pagerank
- 5.8583776e-05
- Overall Rank
- 4,870 | 66.16%
- DOI
-
10.1145/3588926
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 28 of 28 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 159 |
LOF: Identifying Density-Based Local Outliers |
2000 |
SIGMOD |
0.00040135453 |
| 183 |
Automatic Database Management System Tuning Through Large-scale Machine Learning |
2017 |
SIGMOD |
0.00036859633 |
| 339 |
OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases |
2014 |
VLDB |
0.00026895683 |
| 371 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.00025382677 |
| 423 |
Tuning Database Configuration Parameters with iTuned |
2009 |
VLDB |
0.00023628474 |
| 510 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.00021420477 |
| 760 |
Automatic Performance Diagnosis and Tuning in Oracle |
2005 |
CIDR |
0.00017003914 |
| 779 |
QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning |
2019 |
VLDB |
0.00016719473 |
| 1,024 |
DBSherlock: A Performance Diagnostic Tool for Transactional Databases |
2016 |
SIGMOD |
0.00014601525 |
| 1,892 |
Black or White? How to Develop an AutoTuner for Memory-based Analytics |
2020 |
SIGMOD |
0.00010176219 |
| 2,022 |
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms |
2020 |
VLDB |
9.7623022e-05 |
| 2,140 |
Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases |
2020 |
VLDB |
9.4565836e-05 |
| 2,239 |
Performance and Resource Modeling in Highly-Concurrent OLTP Workloads |
2013 |
SIGMOD |
9.2163469e-05 |
| 2,381 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
8.9241557e-05 |
| 2,693 |
Greenplum: A Hybrid Database for Transactional and Analytical Workloads |
2021 |
SIGMOD |
8.2845883e-05 |
| 2,899 |
APOLLO: Automatic Detection and Diagnosis of Performance Regressions in Database Systems |
2020 |
VLDB |
7.9478977e-05 |
| 3,006 |
Clay: Fine-Grained Adaptive Partitioning for General Database Schemas |
2017 |
VLDB |
7.7285127e-05 |
| 3,411 |
SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns |
2020 |
SIGMOD |
7.1215953e-05 |
| 3,650 |
Accordion: Elastic Scalability for Database Systems Supporting Distributed Transactions |
2014 |
VLDB |
6.8746996e-05 |
| 3,655 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
6.8723042e-05 |
| 3,995 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
6.5475871e-05 |
| 4,003 |
DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud |
2013 |
CIDR |
6.5406297e-05 |
| 4,587 |
MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems |
2021 |
SIGMOD |
6.0594195e-05 |
| 4,799 |
Towards Dynamic and Safe Configuration Tuning for Cloud Databases |
2022 |
SIGMOD |
5.9082876e-05 |
| 5,443 |
NashDB: An End-to-End Economic Method for Elastic Database Fragmentation, Replication, and Provisioning |
2018 |
SIGMOD |
5.5020716e-05 |
| 5,740 |
TcpRT: Instrument and Diagnostic Analysis System for Service Quality of Cloud Databases at Massive Scale in Real-time |
2018 |
SIGMOD |
5.3451127e-05 |
| 6,125 |
iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks |
2019 |
SIGMOD |
5.1949154e-05 |
| 9,084 |
A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection |
2021 |
VLDB |
4.3951172e-05 |
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