The increasingly large demand for data storage has spurred on the development of systems
that rely on the aggregate performance of multiple hard drives. In many of these …

A flexible model for estimating reliability of RAID storage systems is presented. This model
corrects errors associated with the common assumption that system times to failure follow a …

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 …

This paper proposes two hard drive failure prediction models based on Decision Trees
(DTs) and Gradient Boosted Regression Trees (GBRTs) which perform well in prediction …

We design a general framework named Hdoctor for hard drive failure prediction. Hdoctor
leverages the power of big data to achieve a significant improvement comparing to all …

The reliability of disk storage systems is adversely affected by the presence of latent sector
errors. Disk scrubbing and intradisk redundancy are two schemes proposed to cope with …

Detecting impending failure of hard disks is an important prediction task which might help
computer systems to prevent loss of data and performance degradation. Currently most of …

Hard disk drives have multiple layers of fault tolerance mechanisms that protect against data
loss. However, a few failures occasionally breach the entire set of mechanisms. To prevent …

Hard drives are an essential component of modern data storage. In order to reduce the risk
of data loss, hard drive failure prediction methods using the Self-Monitoring, Analysis and …

Large scale cloud platforms can benefit from a service that runs a machine learning model to
predict disk drive failures. Unlike previous studies in this space, we have combined multiple …