CC* Networking Infrastructure: North Dakota Internet Leadership Level Infrastructure

该项目为北达科他州州立大学（NDSU）和北达科他州大学（UND）的科学研究和教育创建数据网络和存储基础设施。这些网络升级优先考虑科学数据移动，使两个机构能够更有效地参与地球仪的合作研究。该项目还通过北达科他州的研究和教育（R E）国家网络为两所学校提供更高容量的连接。网络升级加强了努力，以提供一个强大和稳定的劳动力配备必要的技能和知识，以支持当代先进的研究。例子包括目前的北达科他州州EPSCoR轨道I项目，在NDSU/UND和其他北达科他州机构和部落学院学校的研究人员之间的合作，以及学生实习计划使用每个校园的研究计算设施。从园区HPC系统到园区网络边界建立100 Gbps连接。该项目的科学驱动因素包括精准农业和数字农业计划，研究使用无人机和卫星技术收集的作物和牲畜数据; UND使用的100 TB级数据集的多校区研究合作？的区域气候研究中心;和预测设计的材料基于NDSU？材料和纳米技术计划。这些使化学，生物化学，计算机科学，涂料和聚合物材料以及地球仪机械工程的研究人员之间的合作成为可能。网络升级遵循scienceDMZ模型，包括基于perfsonar的端到端测试能力。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project creates data networking and storage infrastructure dedicated to scientific research and education at North Dakota State University (NDSU) and the University of North Dakota (UND). These network upgrades prioritize science data movement, allowing both institutions to more effectively participate in collaborative research across the globe. The project also prepares both schools for much higher capacity connectivity through North Dakota's research and education (R&E) state network. The networking upgrades enhance efforts to provide a strong and stable workforce equipped with the skills and knowledge necessary to support contemporary advanced research. Examples include the current North Dakota state EPSCoR Track I project, collaborations between researchers at NDSU/UND and the other North Dakota institutions and Tribal College schools, and student internship programs using the research computing facilities on each campus. 100Gbps connectivity is established from campus HPC systems to the campus network border. Science drivers for this project include Precision Agriculture and Digital Agriculture initiatives studying crop and livestock data collected using drone and satellite technologies; multi-campus research collaboration on 100TB class datasets used by UND?s Center for Regional Climate Studies; and predictive design of materials based in NDSU?s Materials and Nanotechnology program. These enable collaborations between researchers in chemistry, biochemistry, computer science, coatings and polymeric materials and mechanical engineering across the globe. The networking upgrades follow the scienceDMZ model and include perfsonar based end-to-end testing capabilities.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.