Machine learning assisted OSP approach for improved QoS performance on 3D charge‐trap based SSDs-Reference-Cited by-同舟云学术

Machine learning assisted OSP approach for improved QoS performance on 3D charge‐trap based SSDs

Published:2020-09-11 Issue:12 Volume:35 Page:2103-2116
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Zhu Zongwei¹,Wu Chao²,Ji Cheng³,Wang Xianmin⁴

Affiliation:

1. Suzhou Institute for Advanced Study University of Science and Technology of China Suzhou China

2. Department of Computer Science Shenzhen University Guangdong China

3. Department of Computer Science City University of Hong Kong Hong Kong China

4. Institute of Artificial Intelligence and Blockchain Guangzhou University Guangzhou China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22286

Reference25 articles.

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2. Maximizing I/O throughput and minimizing performance variation via reinforcement learning based I/O merging for SSDS;Wu C;IEEE Trans Comput,2020

3. DuY ZhouY ZhangM LiuW XiongS.Adapting layer RBERS variations of 3D flash memories via multi‐granularity progressive LDPC reading ACM. In Proceedings of the 56th Annual Design Automation Conference DAC 2019 Las Vegas NV June 02–06 2019. 2019:37.https://doi.org/10.1145/3316781.3317759

4. LiuC KotraJB JungM KandemirMT DasCR. SOML read: Rethinking the read operation granularity of 3D NAND SSDs ACM. In: Bahar I Herlihy M Witchel E Lebeck AR eds. Proceedings of the Twenty‐Fourth International Conference on Architectural Support for Programming Languages and Operating Systems ASPLOS 2019 Providence RI April 13–17 2019. 2019:955‐969.https://doi.org/10.1145/3297858.3304035

5. LiuC KotraJ JungM KandemirMT. PEN: design and evaluation of partial‐erase for 3D NAND‐based high density SSDs. In: Agrawal N Rangaswami R eds. 16th USENIX Conference on File and Storage Technologies FAST 2018 Oakland CA February 12‐15 2018. USENIX Association. 2018:67‐82.https://www.usenix.org/conference/fast18/presentation/liu

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