Large-scale storage systems employ erasure-coding redundancy schemes to protect
against device failures. The adverse effect of latent sector errors on the Mean Time to Data …

Improvements in data storage may be constrained by the lower performance of hard disk
drives (HDD) and the higher cost per gigabyte of solid-state drives (SSD). To mitigate these …

Current data centers rely on failure protection mechanisms to ensure data reliability.
However, recent research indicates that failures within the same node or rack are common …

Low-latency data access is crucial in edge clouds serving autonomous vehicles. Storage I/O
caching is a promising solution to deliver the desired storage performance at a reasonable …

Taking advantage of consuming low storage resource, erasure codes have been widely
adopted by various storage systems, eg, HDFS, Ceph, and Microsoft Azure, to provide …

All-flash storage (AFS) systems have become an essential infrastructure component to
support enterprise applications, where sub-millisecond latency and very high throughput are …

An efficient Input/Output (I/O) caching mechanism for data storage can deliver the desired
performance at a reasonable cost to edge nodes serving autonomous vehicles. Current …

One of the solutions used for access speeds is to maximize non-volatile storage functions by
a conventional Hard Disk Driver with Solid State Drive that has the TRIM architecture using …

Channel-level RAID implementation SSDs can fight against channel failures inside SSDs,
but greatly suffer from imbalanced wear-out (ie erase) and I/O workloads across all SSD …

RAID-enabled SSDs commonly have unbalanced I/O workloads on their components (eg,
on their SSD channels), and updating parity requires issuing a number of additional read …