Highly available cloud storage is often implemented with complex, multi-tiered distributed
systems built on top of clusters of commodity servers and disk drives. Sophisticated …

One purpose of empirical software engineering is to enable an understanding of factors that
influence software development. Surveys are an appropriate empirical strategy to gather …

Context: Organizations are spending an unprecedented amount of money towards the cost
of keeping Information Technology (IT) systems operational. Hence, these systems need to …

Many businesses rely on Disaster Recovery (DR) services to prevent either manmade or
natural disasters from causing expensive service disruptions. Unfortunately, current DR …

Decentralized storage systems aggregate the available disk space of participating
computers to provide a large storage facility. These systems rely on data redundancy to …

Data analytics are an important class of data-intensive workloads on public cloud services.
However, selecting the right compute and storage configuration for these applications is …

We analyze how modern distributed storage systems behave in the presence of file-system
faults such as data corruption and read and write errors. We characterize eight popular …

Host-side flash-based caching offers a promising new direction for optimizing access to
networked storage. Current work has argued for using host-side flash primarily as a read …

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

Today's data storage systems are increasingly adopting low-cost disk drives that have
higher capacity but lower reliability, leading to more frequent rebuilds and to a higher risk of …