Disk-to-disk wide-area file transfers involve many subsystems and tunable application
parameters that pose significant challenges for bottleneck detection, system optimization …

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

Challenges and Opportunities for Data-Intensive Computing in the Cloud Toggle navigation
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A common bottleneck for high-speed network data transfers is lack of CPU resources. A
number of techniques and solutions have been proposed to reduce CPU load for data …

In an environment with a large network bandwidth, maximizing bandwidth utilization is an
important issue to increase transmission efficiency. End-to-end transfer efficiency is …

The recent emergence of ultra high-speed networks up to 100 Gb/s has posed numerous
challenges and has led to many investigations on efficient protocols to saturate 100 Gb/s …

Big data scientists face the challenge of locating valuable datasets across a network of
distributed storage locations. We explore methods for recommending storage locations …

The data produced by sensors are expected to grow exponentially in the next several years.
In particular, e-science applications need to move big data for remote analysis or data …

Multicloud environments. Intercloud data movements may happen if a single cloud is not
enough for computation or a user or collaborators have multiple cloud resources. While …

There have been efforts towards improving the network performance using software defined
networking solutions. One such work is Steroid OpenFlow Service (SOS), which utilizes …