DARK: Deep automatic Redis knobs tuning system depending on the persistence method-Reference-Cited by-同舟云学术

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DARK: Deep automatic Redis knobs tuning system depending on the persistence method

Published:2023-07 Issue: Volume:221 Page:119697
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Seo Juyeon^ORCID,Kim Kyeonghun^ORCID,Seo Sangmin,Park Sanghyun^ORCID

Funder

Institute for Information and Communications Technology Promotion

Korea Ministry of Science and ICT

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference32 articles.

1. Automated experiment-driven management of (Database) systems;Babu,2009

2. Persistence and recovery for in-memory NoSQL services: A measurement study;Bao,2016

3. Random forests;Breiman;Machine Learning,2001

4. Evaluation and analysis of in-memory key-value systems;Cao,2016

5. Towards scalable and reliable in-memory storage system: A case study with Redis;Chen,2016

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2. Securing mobility in Bucaramanga;Ingenieria Solidaria;2023-12-20

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