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Automatic Performance Diagnosis and Tuning in Oracle

Summary: Introduces 'Database Time' as a unified performance currency to attribute throughput impact across resources and activities. Describes ADDM, an automatic diagnostic engine using periodic historical measurements to pinpoint bottlenecks, produce actionable tuning recommendations, and enable self-managing Oracle 10g. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h63ce4be8fa0e5197
Venue
CIDR
Year
2005
Pagerank
0.00015761263
Overall Rank
598 | 95.99%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dias_cidr05,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '05},
        title = {{Automatic Performance Diagnosis and Tuning in Oracle}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Dias, Karl and Ramacher, Mark and Shaft, Uri and Venkataramani, Venkateshwaran and Wood, Graham},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 29 of 29 citing papers.

Rank Citing Paper Year Venue Pagerank
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036684414
224 Self-Driving Database Management Systems 2017 CIDR 0.00024013745
314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021282642
508 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00017089907
782 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00014022168
835 Automatic Virtual Machine Configuration for Database Workloads 2008 SIGMOD 0.00013573201
890 E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing Systems 2015 VLDB 0.00013247078
1,289 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011162479
1,658 D-Bot: Database Diagnosis System using Large Language Models 2024 VLDB 9.9642078e-05
1,699 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 9.8445322e-05
3,102 Oracle Database Replay 2008 SIGMOD 7.6485305e-05
3,486 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2636102e-05
3,590 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 7.1865343e-05
3,682 openGauss: An Autonomous Database System 2021 VLDB 7.1013922e-05
4,079 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 6.818264e-05
4,114 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 6.7971182e-05
5,033 Why Did My Query Slow Down? 2009 CIDR 6.3049311e-05
5,077 DBPA: A Benchmark for Transactional Database Performance Anomalies 2023 SIGMOD 6.2858696e-05
5,967 Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems 2019 VLDB 5.9324372e-05
5,974 Towards instance-optimized data systems 2021 VLDB 5.9305575e-05
6,112 iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks 2019 SIGMOD 5.8826029e-05
7,231 QueryScope: Visualizing Queries for Repeatable Database Tuning 2008 VLDB 5.5793e-05
7,373 LRU-C: Parallelizing Database I/Os for Flash SSDs 2023 VLDB 5.5402255e-05
8,854 Avoiding Read Stalls on Flash Storage 2022 SIGMOD 5.264098e-05
8,883 Your Read is Our Priority in Flash Storage 2022 VLDB 5.2563247e-05
10,716 DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs 2026 VLDB 4.9793485e-05
10,908 DBAgent: An RL-Based Agent for Autonomous Database Operations and Maintenance 2026 VLDB 4.9793485e-05
11,412 DBPecker: A Graph-Based Compound Anomaly Diagnosis System for Distributed RDBMSs 2025 VLDB 4.9793485e-05
11,498 Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless 2024 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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