CC*DNI Networking Infrastructure: Campus Research Network - High Bandwidth Private Network Path for Research Data from Experiment to Analysis and Back Again at USF

南佛罗里达大学（USF）正在建设校园研究网络（CRN），为校园研究实验室提供与集中式USF高性能计算（HPC）设施的高速连接，以促进科学数据驱动的实验工作，并实现对超大数据集的分析。CRN是一个专用的100 Gb/s科学DMZ，将USF健康信息学研究所、神经生理学实验室和听觉语音科学实验室连接到中央USF HPC资源。高性能数据传输节点（能够维持超过100 Gb/s的磁盘读写吞吐量）安装在HPC资源和实验室附近，以促进高速数据传输，允许传输到群集进行分析的数据立即可用于所有计算节点。新的CRN有望加速创新的、数据驱动的实验技术的开发，该技术基于对大型实验数据集的分析，使用近实时反馈来改变实验和治疗条件和/或医疗设备设置，以更好地了解年龄对大脑功能的影响，并开发脑控共享设备。CRN还通过提供将健康信息学研究所管理的超大数据集传输到中央USF HPC集群所需的带宽，促进了对糖尿病和罕见疾病的了解。该项目为以100 Gb/s的速度将多个坦帕地区USF校园连接到佛罗里达Lambda Rail（和Internet 2）奠定了基础，从而实现全州、全国和国际合作。

The University of South Florida (USF) is building a Campus Research Network (CRN) to provide campus research laboratories high-speed connectivity to centralized USF High Performance Computing (HPC) facilities to facilitate scientific data-driven experimental work and to enable the analysis of extremely large data sets. The CRN is a dedicated 100 Gb/s Science DMZ connecting the USF Health Informatics Institute, the Neurophysiological Laboratory, and the Auditory & Speech Sciences Laboratory to central USF HPC resources. High performance data transfer nodes (capable of sustaining over 100 Gb/s read/write from/to disk throughput) are installed near the HPC resources as well as the laboratories to facilitate high-speed data transfers, allowing for data transferred to the cluster for analysis to be immediately available to all compute nodes. The new CRN promises to accelerate the development of innovative, data-driven experimental techniques using near real-time feedback based on the analysis of large experimental data sets to alter experimental and treatment conditions and/or medical device settings to provide a better understanding of age-related effects on brain function as well as enabling the development of brain-controlled sharing devices. The CRN also advances the understanding of diabetes and rare diseases by providing the bandwidth required to transfer the extremely large data sets curated by the Health Informatics Institute to the central USF HPC cluster. This project lays a foundation for connecting multiple Tampa-area USF campuses to the Florida Lambda Rail (and Internet2) at 100 Gb/s, allowing for state-wide, national, and international collaborations.