$Q$ -Value Prediction for Reinforcement Learning Assisted Garbage Collection to Reduce Long Tail Latency in SSD-Reference-Cited by-同舟云学术

$Q$ -Value Prediction for Reinforcement Learning Assisted Garbage Collection to Reduce Long Tail Latency in SSD

Published:2020-10 Issue:10 Volume:39 Page:2240-2253
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:

Kang Wonkyung^ORCID,Yoo Sungjoo^ORCID

Funder

National Research Foundation of Korea

Ministry of Science, ICT, and Future Planning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Cited by 11 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. A Stable Idle Time Detection Platform for Real I/O Workloads;ACM Transactions on Architecture and Code Optimization;2024-09-12

3. An Autonomic Resource Allocating SSD;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

4. RiF: Improving Read Performance of Modern SSDs Using an On-Die Early-Retry Engine;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02

5. PcGC: A Parity-Check Garbage Collection for Boosting 3-D NAND Flash Performance;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-12