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Exploit SMART Attributes and NAND Flash Wear Characteristics for SSD Failure Prediction

Offered By: USENIX via YouTube

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Machine Learning Courses Reliability Engineering Courses High Performance Computing Courses Data Centers Courses

Course Description

Overview

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Explore a conference talk that delves into a novel approach for predicting SSD failures in high-performance computing environments. Learn about the Aging-Aware Pseudo Twin Network (APTN), a method that combines SMART attributes and device-level NAND flash wear characteristics to forecast SSD failures more accurately. Discover how this innovative technique improves upon existing prediction schemes, achieving significant increases in F1-score and True Positive Rate (TPR). Gain insights into the importance of considering device-level wear characteristics alongside traditional SMART data for enhancing the reliability and accessibility of HPC storage systems.

Syllabus

USENIX ATC '24 - Exploit both SMART Attributes and NAND Flash Wear Characteristics to Effectively...


Taught by

USENIX

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