본문 바로가기
  • Home

A Study on the Performance Measurement and Analysis on the Virtual Memory based FTL Policy through the Changing Map Data Resource

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2023, 9(1), pp.71-76
  • DOI : 10.20465/KIOTS.2023.9.1.071
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : October 25, 2022
  • Accepted : December 2, 2022
  • Published : February 28, 2023

Hyun-Seob Lee 1

1백석대학교

Accredited

ABSTRACT

Recently, in order to store and manage big data, research and d evelopment of a high-performance storage system capable of stably accessing lar ge data have been actively conducted. In particular, storage systems in data centers and enterprise environments use large amounts of SSD (solid state disk) to manage large amounts of data. In general, SSD uses FTL(flash transfer layer) to hid e the characteristics of NAND flash memory, which is a medium, an d to efficiently manage data. However, FTL's algorithm has a limitation in using DRAM more to manage the location information of NAND where data is stored as the capacity of SSD increases. The refore, this paper introduces FTL policies that apply virtual memory to reduce DRAM resources use d in FTL. The virtual memory-based FTL policy proposed in this paper manages the map data by using LRU (least recently used) policy to load the mapping information of the recently used data into the DRAM space and store the previously used information in NAND. Finally, through experiments, perform ance and resource usage consumed during data write processing of virtual memory-based FTL and ge neral FTL are measured and analyzed.

Citation status

* References for papers published after 2023 are currently being built.