An End-to-End Learning Based Metadata Management Approach for Distributed File Systems-Reference-Cited by-同舟云学术

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An End-to-End Learning Based Metadata Management Approach for Distributed File Systems

Published:2021 Issue: Volume: Page:1-1
ISSN:0018-9340
Container-title:IEEE Transactions on Computers
language:
Short-container-title:IEEE Trans. Comput.

Author:

Gao Yuanning¹,Gao Xiaofeng²,Zhang Ruisi³,Chen Guihai⁴

Affiliation:

1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 12474 Shanghai, Shanghai, China, 200240 (e-mail: gyuanning@sjtu.edu.cn)

2. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 12474 Shanghai, Shanghai, China, 200240 (e-mail: gao-xf@cs.sjtu.edu.cn)

3. Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, Shanghai, China, (e-mail: ruisizhang@sjtu.edu.cn)

4. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, ShangHai, China, (e-mail: gchen@cs.sjtu.edu.cn)

Funder

National Key RD Program of China

Huawei Cloud

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/12/4358213/09395222.pdf?arnumber=9395222

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Adaptive Metadata Management Scheme Based on Deep Reinforcement Learning for Large-Scale Distributed File Systems;IEEE/ACM Transactions on Networking;2023-12

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