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A Design of Hot Data Classifier and Management Scheme for An Efficient Resource Management

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2023, 9(5), pp.1-6
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : August 8, 2023
  • Accepted : October 9, 2023
  • Published : October 31, 2023

Hyun-Seob Lee 1

1백석대학교

Accredited

ABSTRACT

Hot data is frequently used data that affects the performance and lifespan of a storage system. Therefore, classifying and managing the identified hot data is important for the performance and lifetime of storage devices, especially for NAND flash memory, which is characterized by rapid degradation after repeated intensive write operations to specific blocks. In this paper, we design a hot data classifier and management scheme for an efficient resource management in flash memory-based storage devices by benchmarking traces extracted from enterprise servers. Also, we propose a method to measure the frequency of hot data using multiple hashes, and to improve the performance and lifetime of the storage system by classifying the identified hot data and managing it on degradation-resistant media. Finally, we demonstrate the effectiveness of the proposed method by measuring the increased performance and lifetime through experiments.

Citation status

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