With the ever-growing complexity and dynamicity of computer systems, proactive fault
management is an effective approach to enhancing availability. Online failure prediction is …

Performance and power constraints come together with Complementary Metal Oxide
Semiconductor technology scaling in future Exascale systems. Technology scaling makes …

Modern society is increasingly moving toward complex and distributed computing systems.
The increase in scale and complexity of these systems challenges O&M teams that perform …

It is estimated that over 90% of all new information produced in the world is being stored on
magnetic media, most of it on hard disk drives. Despite their importance, there is relatively …

Disk drives are one of the most commonly replaced hardware components and continue to
pose challenges for accurate failure prediction. In this work, we present analysis and …

We compare machine learning methods applied to a difficult real-world problem: predicting
computer hard-drive failure using attributes monitored internally by individual drives. The …

Recently, in order to improve reactive fault tolerance techniques in large scale storage
systems, researchers have proposed various statistical and machine learning methods …

Some statistical and machine learning methods have been proposed to build hard drive
prediction models based on the SMART attributes, and have achieved good prediction …

Most of the modern hard disk drives support Self-Monitoring, Analysis and Reporting
Technology (SMART), which can monitor internal attributes of individual drives and predict …

Modern storage systems orchestrate a group of disks to achieve their performance and
reliability goals. Even though such systems are designed to withstand the failure of …