A Multi-Agent Reinforcement Learning-Assisted Cache Cleaning Scheme for DM-SMR-Reference-Cited by-同舟云学术

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A Multi-Agent Reinforcement Learning-Assisted Cache Cleaning Scheme for DM-SMR

Published:2022 Issue: Volume: Page:1-1
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Shen Zhaoyan¹^ORCID,Yang Yuhan¹^ORCID,Pan Yungang²,Zhang Yuhao¹,Jia Zhiping¹^ORCID,Cai Xiaojun¹,Li Bingzhe³^ORCID,Shao Zili⁴^ORCID

Affiliation:

1. School of Computer Science and Technology, Shandong University, China

2. Department of Computer and Information Science, Linköping University, Linköping, SWEDEN

3. School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, United States

4. Department of Computer Science and Engineering, The Chinese University of Hong Kong, HongKong

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/43/6917053/09961956.pdf?arnumber=9961956

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. LaDy: Enabling L ocality- a ware D eduplication Technolog y on Shingled Magnetic Recording Drives;ACM Transactions on Embedded Computing Systems;2023-09-09

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