DOI QR코드

DOI QR Code

Design of a System to Initialize All Blocks within a Specific Folder

  • Seung Ju Jang (Department of Computer Engineering, Dong-Eui University)
  • 투고 : 2024.10.24
  • 심사 : 2024.11.04
  • 발행 : 2024.11.30

초록

Initializing blocks of a file is a frequently used function on computers. One of the simplest ways to initialize a file block is to open the file and initialize all data. This allows you to completely erase the data the file previously contained. In this paper, we design a system that initializes file blocks within a specific folder. When you specify a folder you want to initialize, the files in the folder are found, the file data is read, and the read data is initialized and saved in the file. In this way, all file blocks in a specific folder are initialized. The experiment was performed on the function proposed in this paper. As a result of the experiment, it was confirmed that initialization of file blocks in a specific folder worked normally.

키워드

참고문헌

  1. S. W. Lee, Se-Jin OH, "Index management technique using Small block in storage device based on NAND flash memory," Journal of The Korea Society of Computer and Information, Vol. 25 No. 10, pp. 1-14, October 2020. DOI:https://doi.org/10.9708/jksci.2020.25.10.001.
  2. Dmytro Ostrovka, and Vasyl Teslyuk, "The Analysis of File Format Conversion Tools for Storing 3D Objects for the iOS Platform", Lviv Polytechnic National University, 12 Bandera street, Lviv, Ukraine, 79013. 2020.
  3. Kazuki Onishi; Jaehoon yu; Masanori Hashimoto, "Memory Efficient Training using Lookup-Table-based Quantization for Neural Network", 2020 2nd IEEE International Co, 31 August 2020 - 02 September 2020, IEEE Xplore: 23 April 2020. DOI: https://doi.org/10.1109/AICAS48895.2020.9073989.
  4. Christian Hummert, Dirk Pawlaszczyk, Mobile Forensics - The file format handbooks, 2022, DOI:https://doi.org/10.1007/978-3-030-98467-0.
  5. Michal Kvet, "Database Block Management using Master Index", 2022 32nd Conference of Open Innovations Association (FRUCT), 09-11 November 2022, DOI: https://doi.org/10.23919/FRUCT56874.2022.9953806.
  6. Jui-Nan Yen; Yao-Ching Hsieh; Cheng-Yu Chen; Tseng-Yi Chen; Chia-Lin Yang; Hsiang-Yun Cheng; Yixin Luo, "Efficient Bad Block Management with Cluster Similarity", 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 02-06 April 2022, DOI: https://doi.org/10.1109/HPCA53966.2022.00044.
  7. G. Yadgar, M. Gabel, S. Jaffer and B. Schroeder, "SSD-based workload characteristics and their performance implications", ACM Transactions on Storage (TOS), vol. 17, no. 1, pp. 1-26, 2021, DOI: https://doi.org/10.1145/3423137.
  8. Fakhitah Ridzuan, Wan Mohd Nazmee Wan Zainon, "A Review on Data Cleansing Methods for Big Data", DOI: https://doi.org/10.1016/j.procs.2019.11.177.
  9. Yingzhe He, Guozhu Meng, Kai Chen, Jinwen He, Xingbo Hu, "DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks", arXiv:2105.06209 [cs.LG] (or arXiv:2105.06209v1 [cs.LG] for this version), DOI: https://doi.org/10.48550/arXiv.2105.06209.
  10. Harish Dattatraya Dixit, Sneha Pendharkar, Matt Beadon, Chris Mason, Tejasvi Chakravarthy, Bharath Muthiah, Sriram Sankar, "Silent Data Corruptions at Scale", arXiv:2102.11245 [cs.AR] (or ar Xiv:2102.11245v1 [cs.AR] for this version), DOI: https://doi.org/10.48550/arXiv.2102.11245.
  11. Dong-Jin Shin and Jeong-Joon Kim, "Cache-Based Matrix Technology for Efficient Write and Recovery in Erasure Coding Distributed File Systems", 2023, 15(4), 872; DOI: https://doi.org/10.3390/sym15040872.