High reliability is critical to large data centers consisting of hundreds to thousands of storage
nodes where node failures are not rare. Data replication is a typical technique deployed to …

As the increasing demand of data storage in recent years, solid state drives (SSDs) have
developed rapidly. However, the frequent occurrence of SSD failures is affecting the stability …

With the emergence of new data-centric applications (eg, data analytics, artificial
intelligence) and larger quantities of data to manage, both academia and industry have …

Large-scale cluster storage systems typically consist of a heterogeneous mix of storage
devices with significantly varying failure rates. Despite such differences among devices …

The Ceph-based data storage system requires a network connection to integrate storage
devices within the storage cluster. therefore, this component greatly affects the performance …

Magnetic hard disk drives continue to be heavily used to store global information. However,
due to the physical characteristics these components fatigue and fail, sometimes in …

Prediction accuracy (true positives, false positives, and so on) is the usual way for evaluating
disk-failure prediction models. Realistically however, we aim not only to correctly predict …

Data replication in cloud storage systems brings a lot of benefits, such as fault tolerance,
data availability, data locality and load balancing both from reliability and performance …

Disk Drive failure tolerance and optimum utilization of disks for storage are two of the most
important challenges in the Cloud based data center. Addressing both these problems …

Cloud computing is a paradigm that has greatly contributed to the emergence of new
applications of IT services. However, the design of dependable and efficient cloud …