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An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning

Summary: CDBTune: end-to-end automatic cloud DB tuning with deep RL (DDPG) for high-dimensional continuous knobs. Sample-efficient, reward-driven online tuning adapts to hardware/workload shifts and beats state-of-the-art tuners and DBAs on real cloud workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hd3819f73a574cf5d
Venue
SIGMOD
Year
2019
Pagerank
0.0002143249
Overall Rank
309 | 97.94%
DOI
10.1145/3299869.3300085

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod19,
        title = {{An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning}},
        author = {Zhang, Ji and Liu, Yu and Zhou, Ke and Li, Guoliang and Xiao, Zhili and Cheng, Bin and Xing, Jiashu and Wang, Yangtao and Cheng, Tianheng and Liu, Li and Ran, Minwei and Li, Zekang},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3300085},
        url = {https://dl.acm.org/doi/10.1145/3299869.3300085},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 106 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

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

Rank Cited Paper Year Venue Pagerank
74 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00037164008
160 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00027775994
189 DB2 Design Advisor: Integrated Automatic Physical Database Design 2004 VLDB 0.00025846085
196 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00025581936
224 Self-Driving Database Management Systems 2017 CIDR 0.00023973185
243 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00023296011
253 Database Cracking 2007 CIDR 0.00023037921
313 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00021288111
380 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00019530546
493 Database Tuning Advisor for Microsoft SQL Server 2005 2004 VLDB 0.0001735831
496 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00017347275
583 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.00015964021
604 Rethinking Database System Architecture: Towards a Self-tuning RISC-style Database System 2000 VLDB 0.00015642703
756 Automatic Physical Database Tuning: A Relaxation-based Approach 2005 SIGMOD 0.00014209974
757 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00014202187
775 Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering 2002 VLDB 0.00014062388
1,611 The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models 2018 SIGMOD 0.00010066379
1,696 Self-organizing Tuple Reconstruction in Column-stores 2009 SIGMOD 9.8272691e-05
1,846 Merging What's Cracked, Cracking What's Merged: Adaptive Indexing in Main-Memory Column-Stores 2011 VLDB 9.5057831e-05
2,392 The Uncracked Pieces in Database Cracking 2014 VLDB 8.5172189e-05
7,838 Automated design of multidimensional clustering tables for relational databases 2004 VLDB 5.4264579e-05
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