In the growing age of cloud computing, shared computing and storage resources can be
accessed over the Internet. Conversely, the infrastructure cost of the cloud reaches an …

Heterogeneous distributed computing environments are emerging for developing data-
intensive (big data) applications that require to access huge data files. Therefore, effective …

Meeting tenant performance requirements through data replication while ensuring an
economic profit is very challenging for cloud providers. For this purpose, we propose a data …

Enterprises are increasingly outsourcing their computing needs to cloud computing. This
dependency on cloud services requires uninterrupted and high availability of services …

How to improve the performance of single failure recovery has been an active research topic
because of its prevalence in large-scale storage systems. We argue that when erasure …

Erasure coding is a storage-efficient redundancy scheme for modern clustered storage
systems by storing stripes of data and parity blocks across the nodes of multiple clusters; in …

All-flash array (AFA) is a popular approach to aggregate the capacity of multiple solid-state
drives (SSDs) while guaranteeing fault tolerance. Unfortunately, existing AFA engines inflict …

Cloud storage is attracting more and more users with its virtually infinite capacity. However,
users have to confront challenges of service outages, price hikes and vendor lock-in. Data …

Cloud storage systems typically choose between replicating or erasure encoding data to
provide fault tolerance. Replication ensures that data can be accessed from a single site but …

The use of storage tiering is becoming popular in data-intensive compute clusters due to the
recent advancements in storage technologies. The Hadoop Distributed File System, for …