Uncorrectable errors in dynamic random access memory (DRAM) are a common form of
hardware failure in server clusters. Failures are costly both in terms of hardware …

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 …

Ensuring stable performance for storage stacks is important, especially with the growth in
popularity of hosted services where customers expect QoS guarantees. The same …

Failure prediction for hard disk drives is a typical and effective approach to improve the
reliability of storage systems. In a large-scale data center environment, the various brands …

The digital transformation disrupts the various professional domains in different ways,
though one aspect is common: the unified platform known as cloud computing. Corporate …

Hard disk failure prediction plays an important role in reducing data center downtime and
improving service reliability. In contrast to existing work of modeling the prediction problem …

Disk failure has become a major concern with the rapid expansion of storage systems in
data centers. Based on SMART (Self-Monitoring, Analysis and Reporting Technology) …

Modern storage technology (solid-state disks (SSDs), NoSQL databases, commoditized
RAID hardware, etc.) brings new reliability challenges to the already-complicated storage …

With the continued scaling of NAND flash and multi-level cell technology, flash-based
storage has gained widespread use in systems ranging from mobile platforms to enterprise …

Traditionally, disk failure prediction accuracy is used to evaluate disk failure prediction
model. However, accuracy may not reflect their practical usage (protecting against failures …