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F2FS Filesystem Optimization for LSM Tree-based Key-value Store in ZNS SSD

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 13 Number 4 (2024.12)바로가기
  • 페이지
    pp.242-248
  • 저자
    Inki Jung, Kitae Kim, Sungyong Ahn
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A462029

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원문정보

초록

한국어
ZNS (Zoned Namespaces) SSD is an emerging type of SSD that divides its internal space into zones, which are logical units with a sequential write constraint. By allowing the host to manage these zones directly, it enables more efficient data placement and reduces garbage collection overhead. F2FS (Flash-Friendly File System) is a log-structured file system optimized for NAND flash memory and is one of the default Linux file systems that support ZNS SSDs. Currently, ZNS-based F2FS allocates zones based on file extensions, sizes, and other characteristics. However, it does not support zone allocation policies that consider the level-based lifetime of SST (Static Sorted Table) files, which are the primary data structure of LSM (Log Structured Merge) tree-based key-value stores like RocksDB. Therefore, this paper proposes a technique to reduce the garbage collection overhead of ZNS SSDs by employing a new zone allocation policy that considers the levels of the LSM-tree.

목차

Abstract
1. Introduction
2. Background
2.1 Zoned Namespace SSD
2.2 F2FS
2.3 LSM-tree and RocksDB
3. Design and Implementation
4. Performance Evaluation
4.1 Experimental Environment
4.2 Evaluation Results
5. Conclusion
Acknowledgement
References

키워드

Log-structured Filesystem Key-value Store Zoned Namespaces SSD Log-structured Merge Tree

저자

  • Inki Jung [ Master, School of Computer Science and Engineering, Pusan National University, Korea ]
  • Kitae Kim [ Master, School of Computer Science and Engineering, Pusan National University, Korea ]
  • Sungyong Ahn [ Associate Professor, School of Computer Science and Engineering, Pusan National University, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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