Failure analysis and reliability study of NAND flash-based solid state drives

R. Sayyad, Sangram Redkar

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

This research focuses on conducting failure analysis and reliability study to understand and analyze the root cause of Quality, Endurance component Reliability Demonstration Test (RDT) failures and determine SSD performance capability. It addresses essential challenges in developing techniques that utilize solid-state memory technologies (with emphasis on NAND flash memory) from device, circuit, architecture, and system perspectives. These challenges include not only the performance degradation arising from the physical nature of NAND flash memory, e.g., the inability to modify data in-place read/write performance asymmetry, and slow and constrained erase functionality, but also the reliability drawbacks that limits Solid State Drives (SSDs) performance. In order to understand the nature of failures, a Fault Tree Analysis (FTA) was performed that identified the potential causes of component failures. In the course of this research, significant data gathering and analysis effort was carried out that led to a systematic evaluation of the components under consideration. The approach used here to estimate reliability utilized a sample of drives to reflect the reliability parameters (RBER, AFR, and MRR) over 1 year. It is anticipated that this study can provide a methodology for future reliability studies leading to systematic testing and evaluation procedure for SSD RDT’s and critical components.

Original languageEnglish (US)
Pages (from-to)315-327
Number of pages13
JournalIndonesian Journal of Electrical Engineering and Computer Science
Volume2
Issue number2
DOIs
StatePublished - May 1 2016

Keywords

  • Performance analysis
  • Reliability
  • Solid state devices

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering
  • Control and Optimization

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