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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

An Adaptation Layer for Hardware Restrictions of Quadruple-Level Cell Flash Memories

Author 1: Se Jin Kwon

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0130824

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 8, 2022.

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Abstract: In recent years, major flash memory vendors have produced SSDs and fusion memories as substitution for hard disks. However, there has been a lack of studies on access restriction of QLC flash memory, since most researches have targeted small capacity flash memory. As a solution, we propose to implement an adaptation layer between the file system and FTL (Flash Translation Layer). Instead of immediately writing data given from file system to flash memory, the adaptation layer gathers and adjusts data in the unit of a page, and separates random data from sequential data. By implementing the adaptation layer, previous FTL algorithms can be fully applied on the QLC flash memory. According to our experiment, the adaptation layer forms smaller number of pages than the current data gathering algorithm.

Keywords: Cache storage; flash memory; SSD; nonvolatile memory

Se Jin Kwon, “An Adaptation Layer for Hardware Restrictions of Quadruple-Level Cell Flash Memories” International Journal of Advanced Computer Science and Applications(IJACSA), 13(8), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130824

@article{Kwon2022,
title = {An Adaptation Layer for Hardware Restrictions of Quadruple-Level Cell Flash Memories},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130824},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130824},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {8},
author = {Se Jin Kwon}
}


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