In end-to-end data transfers, there are several factors affecting the data transfer throughput,
such as the network characteristics (eg, network bandwidth, round-trip-time, background …

The scale of scientific data generated by experimental facilities and simulations on high-
performance computing facilities has been growing rapidly. In many cases, this data needs …

Obtaining optimal data transfer performance is of utmost importance to today's data-
intensive distributed applications and wide-area data replication services. Tuning …

Predicting the data transfer throughput of cloud networks plays an important role in several
resource optimization applications, such as auto-scaling, replica selection, and load …

Wide-area data transfer is central to distributed science. Network capacity, data movement
infrastructure, and tools in science environments continuously evolve to meet the …

The increase and rapid growth of data produced by scientific instruments, the Internet of
Things (IoT), and social media is causing data transfer performance and resource …

We investigate the file transfer scheduling problem, where transfers among different
endpoints must be scheduled to maximize pertinent metrics. We propose two new …

The amount of data transferred over dedicated and non-dedicated network links has been
increasing much faster than the increase in the network capacity. On the other hand, the …

Improving data transfer throughput over high-speed long-distance networks has become
increasingly difficult. Numerous factors such as nondeterministic congestion, dynamics of …

In parallel with big data processing and analysis dominating the usage of distributed and
Cloud infrastructures, the demand for distributed metadata access and transfer has …