Recognizing the impact from cluster recovery operations on performance and mean time to
recovery (MTTR) is essential to maintain service and availability objectives. Testing the …

As a proactive failure tolerant mechanism in large scale cloud storage systems, drive failure
prediction can be used to protect data by early warning before real failures of drives, and …

Ceph is an object-based scale-out storage system that is widely used in the cloud computing
environment due to its scalable and reliable characteristics. Although there are many factors …

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

With the development of information technology and wide application of smart devices, data
increases exponentially and more and more data are stored in the cloud, whereas most of …

In data storage systems, data are typically stored in redundant storage nodes to ensure
storage reliability. When storage nodes fail, with the help of the redundant nodes, the lost …

Solid state drives (SSDs) play an important role in large-scale data centers. SSD failures
affect the stability of storage systems and cause additional maintenance overhead. To …

To improve reactive hard-drive fault-tolerance techniques, many statistical and machine
learning methods have been proposed for failure prediction based on SMART attributes …

A cloud storage system requires multiple functional and management layers to render a
global-scale storage solution. Providing a reliable service through this complex architecture …

Computations and simulations help advance knowledge in science, energy, and national
security. Over the years, they have become more accurate to generate more realistic …