Tun-OCM: A model-driven approach to support database tuning decision making

Author:

Almeida Ana Carolina,Baião Fernanda,Lifschitz Sérgio,Schwabe Daniel,Campos Maria Luiza M.

Funder

National Council for Scientific and Technological Development

Carlos Chagas Filho Foundation for Research Support of Rio de Janeiro State

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference29 articles.

1. External vs. internal: an essay on machine learning agents for autonomous database management systems;Pavlo,2019

2. A software cybernetics approach to self-tuning performance of on-line transaction processing systems;Ding;J. Syst. Softw.,2017

3. Automated performance tuning of data management systems with materializations and indices;Noon;J. Comp. Commun.,2016

4. A Non-Intrusive approach for automated physical design tuning;Almeida,2016

5. Autonomous re-indexing;Morelli,2012

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1. Automatic Database Knob Tuning: A Survey;IEEE Transactions on Knowledge and Data Engineering;2023-12-01

2. Explainable AI for DBA: Bridging the DBA's experience and machine learning in tuning database systems;Concurrency and Computation: Practice and Experience;2023-03-31

3. COMORP: Rapid prototyping for mathematical database cost models development;Journal of Computer Languages;2022-12

4. Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications;Proceedings of the VLDB Endowment;2022-09

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