Silent data corruption poses a significant risk to the integrity of data in storage systems.
Although error correction codes (ECC) can recover the majority of such errors, a non …

As cloud storage adopts a distributed architecture to store massive data, how to improve the
reliability of the storage center has become the focus of researchers. HDFS, the distributed …

Cloud storage services are associated with high latency variance, and degraded throughput
which is problematic when users are fetching and storing content for interactive applications …

Disk drive failure related data lost remains a major threat to storage system reliability.
Current counter-measurement all focused on reactive data protection, such as using RAID or …

We introduce general methodologies for benchmarking the availability and maintainability of
computer systems. Our methodologies are based on fault injection, used to purposefully …

With the development of cloud computing and cloud storage technology, the data scale has
grown rapidly. In order to store and process large-scale data, there are thousands of nodes …

Cloud-based data management system is emerging as a scalable, fault tolerant and efficient
solution to large scale data management. More and more companies are moving their data …

This paper introduces a new benchmark tool, SPEK (storage performance evaluation kernel
module), for evaluating the performance of block-level storage systems in the presence of …

This study addresses the knowledge gap in request-level storage trace analysis by
incorporating workload characterization, compression, and synthesis. The aim is to better …

Proactive failure management is essential to alleviate potential risks of service unavailability
and downtime in Software-Defined Data Centres (SDDCs). Artificial Intelligence (AI) models …