ChimeraTL: Transfer Learning in DBMS with Fewer Samples-Reference-Cited by-同舟云学术

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ChimeraTL: Transfer Learning in DBMS with Fewer Samples

Published:2024-05-13 Issue: Volume: Page:310-316
ISSN:
Container-title:2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW)
language:
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Author:

Nakamori Tatsuhiro¹,Matsuura Shohei²,Miyazaki Takashi²,Nakazono Sho²,Sato Taiki²,Hoshino Takashi³,Kawashima Hideyuki¹

Affiliation:

1. Keio University

2. LY Corporation

3. Cybozu Labs

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10555031/10555051/10555084.pdf?arnumber=10555084

Reference21 articles.

1. Facilitating database tuning with hyper-parameter optimization

2. Too many knobs to tune? towards faster database tuning by pre-selecting important knobs;Kanellis

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

4. Automatic Database Management System Tuning Through Large-scale Machine Learning

5. Tuning database configuration parameters with iTuned

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