Cloud computing has a significant impact on information technology solutions for both
organizations and researchers. Different users share critical data over the cloud where …

At present, huge cloud-based applications have put forward higher requests for data center
storage. In a large-scale Cloud environment, data replication provides an appropriate …

The ever increasing request of computational resources has shifted the computing paradigm
towards solutions where less computation is performed locally. The most widely adopted …

In the last years, demand and availability of computational capabilities experienced radical
changes. Desktops and laptops increased their processing resources, exceeding users' …

As we enter the exascale era, the energy efficiency and performance of High-Performance
Computing (HPC) systems, especially running Machine Learning (ML) applications, are …

The growing disparity in data storage and retrieval needs of modern applications is driving
the proliferation of a wide variety of storage systems (eg, key-value stores, cloud storage …

In recent years, the rapid proliferation of enormous sources of digital data and the
development of Cloud Computing have led to greater dependence on data-intensive …

Nowadays, parallel accelerators have become prominent and ubiquitous, eg, multi-core
CPUs, many-core GPUs (Graphics Processing Units) and Intel Xeon Phi. The performance …

Large-scale simulations produce massive data that needs to be stored on parallel file
systems. The simulations use parallel I/O to write data into file systems, such as Lustre …