Performance testing results for tools used in big data transfers
Following is the abstract from the paper that summarizes the results of the study.
We present performance and fairness analysis of two TCP-
based (GridFTP and FDT) and one UDP-based (UDT)
big data transfer protocols. We perform long-haul performance
experiments using a 10 Gb/s national network, and conduct
fairness tests in our 10 Gb/s local network. Our results
show that GridFTP with jumbo frames provides fast data
transfers. GridFTP is also fair in sharing bandwidth with
competing background TCP flows.
Performance and Fairness Issues in Big Data Transfers by Se-young Yu, Nevil Brownlee, and Aniket Mahanti, University of Auckland, New Zealand