CC* Networking Infrastructure: Gate City Research Network - A Multi-Institution Science DMZ

盖特城研究网络(GCRN)是北卡罗来纳大学格林斯伯勒分校(UNG)和北卡罗来纳农工州立大学(NC A&A；T)之间的合作，旨在创建一个多机构科学非军事区，通过专用、低延迟、高速的研究和教育网络连接来支持研究活动。GCRN通过纳米科学和纳米工程联合学院(JSNN)连接东南纳米技术基础设施走廊，增强研究人员对高性能计算(HPC)资源的访问，以支持全州和地区的竞争和创新研究环境。GCRN连接到北卡罗来纳州研究和教育网络和Internet2，提供专用的、独立的研究网络，以克服企业网络上施加的延迟挑战，这些网络支持管理和不断增长的娱乐服务流量。高速数据传输节点的加入有助于将大数据快速传输到合作机构的联邦HPC环境中，并为增强从研究仪器到分析、模拟和建模计算资源的端到端数据流流程提供了基础，显著提高了化学、纳米工程、纳米、计算机和数据科学等学科的基础研究能力。GCRN致力于制作开放接入设计、可持续性和治理文档、使用和性能数据以及测试和操作协议，以支持发展21世纪具有数据能力的劳动力，并成为可扩展和高效的多机构科学DMZ的典范。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The Gate City Research Network (GCRN) is a collaboration between the University of North Carolina at Greensboro (UNCG) and North Carolina A&T State University (NC A&T) to create a multi-institutional science DMZ supporting research activities through a dedicated, low-latency, high-speed research and education network connection. The GCRN enhances researcher access to high performance computing (HPC) resources supporting the competitive and innovative research environment state-wide and regionally by connecting the Southeastern Nanotechnology Infrastructure Corridor through the Joint School of Nanoscience and Nanoengineering (JSNN).The GCRN, connected to the North Carolina Research and Education Network and Internet2, provides a dedicated, separate research network to overcome the latency challenges imposed on the enterprise networks that support the administrative and growing entertainment service traffic. The addition of a high-speed data transfer node facilitates fast transfers of large data to federated HPC environments at partner institutions and provides the foundation to enhance the end-to-end data flow processes from research instrumentation to analysis, simulation and modeling computational resources, significantly increasing the fundamental research capacity in disciplines such as chemistry, nano-engineering, nano-, computer-, and data science. The GCRN is committed to producing open access design, sustainability and governance documentation, use and performance data, and testing and operations protocols in support of developing a 21st-century data capable workforce and serving as a model for a scalable and efficient multi-institutional science DMZ.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.