Exploit SMART Attributes and NAND Flash Wear Characteristics for SSD Failure Prediction
Offered By: USENIX via YouTube
Course Description
Overview
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
Related Courses
Failure Analysis And PreventionIndian Institute of Technology Roorkee via Swayam Reliable Cloud Infrastructure: Design and Process en Français
Google Cloud via Coursera Reliability in Engineering Design
Purdue University via edX Reliable Google Cloud Infrastructure: Design and Process
Pluralsight Reliable Google Cloud Infrastructure: Design and Process
Pluralsight