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Hard disk failure prediction research may save IT time and money

From TechRepublic

"Predicting when hard disks will fail is an inexact science, but a researcher from the University of Nebraska may be close to making it more accurate.

Enterprise storage arrays, whether arranged in SAN, NAS or object configurations, can contain dozens or hundreds of individual hard disks. More precise insight into which disk may soon fail, even if it's just an improvement of a few percent, could mean the difference between proactively keeping multiple terabytes of data online or reactively retrieving it from backups.

Junjie Qian, a doctoral student in computer science, said his approach to predicting soon-to-fail disks works by using multiple machine-learning algorithms. Existing approaches use only one model, which suffices but causes too many false positive results, he said.

Qian, whose work is sponsored by NetApp, presented his research in Boston last month at the IEEE Conference on Networking, Architecture and Storage.”

Read more at TechRepublic


NCC Weekly News Update 29 September 2015 

 

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