Performance and Fairness Issues in Big Data Transfers
Se-young Yu, Nevil Brownlee, Aniket Mahanti · 2014
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.