CC*IIE Networking Infrastructure: Building a Science DMZ and Enhancing Science Data Movement to Support Data Intensive Computational Research at South Dakota State University

南达科他州州立大学（SDSU）的战略计划，影响2018年，挑战大学的部分是高性能;研究和创新被挑出来作为一个这样的领域，将采取这一挑战。为了达到这一业绩水平，该计划规定，信息技术是取得这一成功的基础。考虑到这一点，技术和安全部门有针对性地建设了一个科学DMZ，以加强当前的端到端科学数据传输方案，并使大学研究人员能够利用下一代网络连接进行跨机构合作。科学DMZ项目是根据能源科学网络（ESNET）建立的架构和实践设计的，旨在实现科学数据的快速端到端传输，并优化网络组件，以实现高性能的科学应用。科学DMZ的具体元素包括支持虚拟电路、软件定义网络、网络测试和高速数据传输处理的增强功能。对这些网络基础设施的改进需求是由校园研究领域的科学活动水平的提高所推动的，即地理信息科学卓越中心（GSCE），图像处理实验室以及生物学和植物科学部门内的几个小组中发现的大数据用户参与了最先进的基因组学处理和应用。这一努力有望改变SDSU的基础设施，提供协调的资源，以系统地处理，转移和分析大型科学数据集，从而增强研究界的合作机会。

South Dakota State University's (SDSU) strategic plan, Impact 2018, challenges segments of the university to be high performing; research and innovation was singled out as one such area that would take up that challenge. In order to achieve this level of performance, the plan specifies that information technology be the foundation on which this success is built. With this in mind, the Division of Technology and Security has targeted the construction of a Science DMZ to enhance current end-to-end science data transfer scenarios and position university researchers to take advantage of the next generation in network connectivity for cross-institutional collaboration. The Science DMZ project is designed according to the architecture and practices established by the Energy Sciences Network (ESNET) to enable fast end-to-end transfers of scientific data and optimize network components for high-performance scientific applications. Specific elements of the Science DMZ include support for virtual circuits, software defined networking, network testing and enhancements in high-speed data transfer processing. The need for these cyberinfrastructure improvements are driven by increased levels of scientific activity across campus research areas, namely big data users found within the Geographic Information Science Center of Excellence (GSCE), the Image Processing Lab, and several groups within the Biology and Plant Science departments involved with state-of-the-art genomics processing and applications. This effort promises to transform SDSU's infrastructure, providing a coordinated resource to systematically process, transfer and analyze large science data sets, resulting in enhanced collaborative opportunities for the research community.