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Improved Hot data verification considering the continuity and frequency of data update requests

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2022, 8(5), pp.33-39
  • DOI : 10.20465/KIOTS.2022.8.5.033
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : August 4, 2022
  • Accepted : September 19, 2022
  • Published : October 31, 2022

LEESEUNGWOO 1

1영남이공대학교

Accredited

ABSTRACT

A storage device used in the mobile computing field should have low power, light weight, durability, etc., and should be able to effectively store and manage large-capacity data generated by users. NAND flash memory is mainly used as a storage device in the field of mobile computing. Due to the structural characteristics of NAND flash memory, it is impossible to overwrite in place when a data update request is made, so it can be solved by accurately separating requests that frequently request data update and requests that do not, and storing and managing them in each block. The classification method for such a data update request is called a hot data identification method, and various studies have been conducted at present. This paper continuously records the occurrence of data update requests using a counting filter for more accurate hot data validation, and also verifies hot data by considering how often the requested update requests occur during a specific time.

Citation status

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