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Multidimensional Features Helping Predict Failures in Production SSD-Based Consumer Storage Systems

  • Published:2023-04 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • language:
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Author:

Zhang Xinyan1,Tan Zhipeng1,Feng Dan1,He Qiang1,Ju Wan1,Hao Jiang2,Zhang Ji2,Yang Lihua1,Qi Wenjie1

Affiliation:

1. Huazhong University of Science and Technology,Wuhan National Laboratory for Optoelectronics

2. Huawei Technologies,China

Publisher

IEEE

Reference27 articles.

1. Data retention in mlc nand flash memory: Characterization, optimization, and recovery;yu;HPCA,2015

2. A study of ssd reliability in large scale enterprise storage deployments;stathis;FAST,2020

3. Proactive error prediction to improve storage system reliability;mahdisoltani;ATC,2017

4. AVATAR: A Variable-Retention-Time (VRT) Aware Refresh for DRAM Systems

5. Making disk failure predictions smarter!;sidi;FAST,2020
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