Increasingly data-intensive scientific and commercial applications require frequent movement of large datasets from one site to the other. Despite the growing capacity of the …
M Arifuzzaman, E Arslan - … of the International Conference for High …, 2021 - dl.acm.org
File transfers in high-speed networks require network and I/O parallelism to reach high speeds, however, creating arbitrarily large numbers of I/O and network threads overwhelms …
W Zheng, J Kordas, TJ Skluzacek… - … Journal of High …, 2024 - journals.sagepub.com
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 …
E Arslan, T Kosar - IEEE Transactions on Parallel and …, 2018 - ieeexplore.ieee.org
Data-intensive scientific and commercial applications increasingly require frequent movement of large datasets from one site to the other (s). Despite growing network …
E Arslan, B Ross, T Kosar - Euro-Par 2013 Parallel Processing: 19th …, 2013 - Springer
Obtaining optimal data transfer performance is of utmost importance to today's data- intensive distributed applications and wide-area data replication services. Doing so …
E Arslan, A Alhussen - … Conference on Big Data (Big Data), 2018 - ieeexplore.ieee.org
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 …
Wide-area data transfer is central to distributed science. Network capacity, data movement infrastructure, and tools in science environments continuously evolve to meet the …
We investigate the file transfer scheduling problem, where transfers among different endpoints must be scheduled to maximize pertinent metrics. We propose two new …
H Sapkota, BA Pehlivan, E Arslan - … of the ACM Workshop on Systems …, 2019 - dl.acm.org
Real-time transfer optimization approaches offer promising solutions as they can discover optimal transfer configuration in the runtime without requiring an upfront work or making …