Performance and Fairness Issues in Big Data Transfers

Se-young Yu, Nevil Brownlee, Aniket Mahanti
2014 Proceedings of the 2014 CoNEXT on Student Workshop - CoNEXT Student Workshop '14  
We present performance and fairness analysis of two TCPbased (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.
doi:10.1145/2680821.2680824 dblp:conf/conext/YuBM14 fatcat:ffheqipb5fasfhh4h5tbefblkm