CC-NIE Networking Infrastructure: Data Driven Networking - Keeping SFA on the Map

CC-NIE网络基础设施项目克服了Stephen F. Austin州立大学（SFA）的地理和技术障碍，对网络基础设施、连接性和科学DMZ进行了重大升级。这些升级支持扩展的研究和教学能力，并提高了各种STEM学科的数据驱动研究能力。正在建设的网络增强包括两个光纤安装建设，一个是从SFA主校区到休斯顿的互联网2和龙星教育和研究网络（LEARN）存在点的受保护的10gb /s以太网连接，另一个是从SFA主校区到远程SFA天文台和Walter C. Todd农业研究综合体。正在进行的升级将科学DMZ的容量从1 Gb/s增加到10 Gb/s，以允许在大学的保护防火墙之外快速交换大型数据集。安装10gb /s PerfSONAR节点允许SFA对相关站点的性能进行基准测试并监控网络性能。应用领域包括物理和天文学、农业、生物学、生物技术、化学、计算机科学、数学和统计学、林业和地理空间科学等领域的研究，这些领域将直接受益于操作、管理和传输大型数据集的能力。此外，增强的基础设施将提高校园、国家和全球合作研究的能力，并充分利用现有网络，如LEARN、internet2、REDDnet和AmericaView。网络的改进还将加强这些和其他STEM学科的研究生和本科课程，并允许学生更多地参与数据密集型研究。

The CC-NIE Networking Infrastructure project overcomes geographical and technological barriers at Stephen F. Austin State University (SFA) with major upgrades to network infrastructure, connectivity, and the science DMZ. These upgrades support expanded research and teaching capabilities and improve capacity for data-driven research across a variety of STEM disciplines.Network enhancements under construction consist of two fiber optic installation builds, one enabling a protected 10 Gb/s Ethernet connection from the SFA main campus to the Internet2 and the Lonestar Education and Research Network (LEARN) point-of-presence in Houston and the other from the SFA main campus to the remote SFA Observatory and Walter C. Todd Agricultural Research complex. Upgrades in progress increase the capacity of the science DMZ from 1 Gb/s to 10 Gb/s to allow for the rapid exchange of large datasets outside of the university's protective firewall. Installation of a 10 GB/s PerfSONAR node allows SFA to benchmark performance to relevant sites and to monitor network performance. Applications include research endeavors in physics and astronomy, agriculture, biology, biotechnology, chemistry, computer science, mathematics and statistics, forestry, and geospatial sciences that will directly benefit from the ability to manipulate, manage, and transfer larger data sets. Additionally, the enhanced infrastructure will improve capacity for collaborative research on campus, nationally, and globally, and afford full use of existing networks, such as LEARN, internet2, REDDnet and AmericaView. The networking improvements will also enhance both graduate and undergraduate curricula in these and other STEM disciplines and allow for increased student participation in data-intensive research.