Comparative Analysis of Transfer Protocols For Big Data
A. Mahati, Se-young Yu, N. Brownlee · Phaidra (Universität Wien) · 2013
Scientists working in various fields such as astronomy and biology require access to vast volumes of data (also referred to as "big data") for their research.This data may need to transferred over long distances to enable collaboration among scientists around the world.It is important for them to have appropriate transfer protocols to optimize data transfer speed.This paper presents a preliminary comparative analysis of high-speed transfer protocols for big data on long fat networks.We analyze the following protocols: GridFTP, FDT, UDT and Tsunami.We perform extensive experiments to measure the efficacy of each protocol in terms of its throughput for various round-trip times, against increasing levels of congestion inducing background traffic, and the impact of using jumbo frames sizes.Our results show that without much tuning, TCP-based protocols work better than UDP-based protocols.