Scientific applications generate large volumes of data that often needs to be moved between
geographically distributed sites for collaboration or backup which has led to a significant …

Many extreme-scale applications require the movement of large quantities of data to, from,
and among leadership computing facilities, as well as other scientific facilities and the home …

End-to-end integrity verification is designed to protect file transfers against silent data
corruption by comparing checksum of files at source and destination end points using …

The amount of data generated by scientific and commercial applications is growing at an
ever-increasing pace. This data is often moved between geographically distributed sites for …

With the continued rise of scientific computing and the enormous increases in the size of
data being processed, scientists must consider whether the processes for transmitting and …

To meet increasing data access performance demands of applications run on high-
performance computing (HPC) systems, an efficient design of HPC storage file system is …

Computational science simulations produce huge volumes of data for scientific research
organizations. Often, this data is shared by data centers distributed geographically for …

Various components are involved in the end-to-end path of data transfer. Protecting data
integrity from failures in these intermediate components is a key feature of big data transfer …

The amount of data generated by scientific applications on high-performance computing
systems is growing at an ever-increasing pace. Most of the generated data are transferred to …

Finding the root causes of network performance anomalies is critical to satisfy the quality of
service requirements. In this paper, we introduce machine learning (ML) models to process …