FSbrain: An intelligent I/O performance tuning system-Reference-Cited by-同舟云学术

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FSbrain: An intelligent I/O performance tuning system

Published:2022-08 Issue: Volume:129 Page:102623
ISSN:1383-7621
Container-title:Journal of Systems Architecture
language:en
Short-container-title:Journal of Systems Architecture

Author:

Tang Yong,Lin Ronghua,Li Dingding^ORCID,Li Yuguo,Zeng Deze

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Hardware and Architecture,Software

Reference35 articles.

1. Towards high-efficient transaction commitment in a virtualized and sustainable RDBMS;Li;IEEE Trans. Sustain. Comput.,2021

2. Understanding the effect of multiple factors on a parallel file system’s performance;Inacio,2015

3. Carver: Finding important parameters for storage system tuning;Cao,2020

4. Taming parallel I/O complexity with auto-tuning;Behzad,2013

5. CAPES: Unsupervised storage performance tuning using neural network-based deep reinforcement learning;Li,2017

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1. DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning;World Wide Web;2023-04-01

2. A DMA-based Swap Mechanism of Hybrid Memory System;2022 18th International Conference on Mobility, Sensing and Networking (MSN);2022-12

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