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A Prediction-Based Data Read Ahead Policy using Decision Tree for improving the performance of NAND flash memory based storage devices

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2022, 8(4), pp.9-15
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : June 7, 2022
  • Accepted : July 22, 2022
  • Published : August 31, 2022

Hyun-Seob Lee 1

1백석대학교

Accredited

ABSTRACT

NAND flash memory is used as a medium for various storage devices due to its high data processing speed with low power consumption. However, since the read processing speed of data is about 10 times faster than the write processing speed, various studies are being conducted to improve the speed difference. In particular, flash dedicated buffer management policies have been studied to improve write speed. However, SSD(solid state disks), which has recently been used for various purposes, is more vulnerable to read performance than write performance. In this paper, we find out why read performance is slower than write performance in SSD composed of NAND flash memory and study buffer management policies to improve it. The buffer management policy proposed in this paper proposes a method of improving the speed of a flash-based storage device by analyzing the pattern of read data and applying a policy of pre-reading data to be requested in the future from NAND flash memory. It also proves the effectiveness of the read-ahead policy through simulation.

Citation status

* References for papers published after 2022 are currently being built.