CC*DNI Campus Design: Internet2 Infrastructure to Enable Research in Big Data Science and Engineering at Tennessee State University

该项目通过Internet2高速访问大规模复杂数据集和分布式计算基础设施，增强了田纳西州立大学（TSU）的网络基础设施。这个为期两年的项目加速了正在进行的天文学，生物信息学和网络安全项目的成果，高速访问仪器，如机器人望远镜及其流数据；高维数据集，如基因组数据集；以及大规模的分布式计算和网络平台。托国立正在为科学和工程研究流量增加一个专用网络，升级主干网络连接到容纳天文学、生物信息学和网络安全实验室的研究综合体，并提供高速接入Internet2。加强的基础设施将使托国立的教师和学生能够有效地从事科学和工程研究和教育。新的校园网容量使TSU能够传输大型数据集，并提高理工科教师进行的计算研究的质量。具体来说，研究人员可以连接到位于亚利桑那州南部的TSU最先进的望远镜，每天对数千颗恒星的图像进行分析。生物信息学研究人员可以在匹兹堡超级计算中心、范德比尔特先进基因组技术、康奈尔基因组多样性设施和国家分布式计算平台上进行基因组测序服务设施，以分析大量复杂的植物组织数据集。网络安全研究人员可以进行大规模的研究实验，并利用全球网络创新环境（GENI）设施上的计算服务器和Openflow交换机的高速访问。该项目还促进了本科生的研究，使学生能够有效地利用计算资源进行数据分析。

This project enhances cyberinfrastructure at Tennessee State University (TSU) with high-speed access to massive and complex datasets and distributed computing infrastructure via Internet2. The two-year project accelerates outcomes of ongoing astronomy, bioinformatics and cybersecurity projects with high speed access to: instruments, such as robotic telescopes and their streaming data; high dimension datasets, such as genomic datasets; and large scale distributed computing and networking platforms. TSU is adding a dedicated network for science and engineering research traffic, upgrading the backbone network connections to the research complex housing the astronomy, bioinformatics and cybersecurity laboratories, and providing high speed access to Internet2. The enhanced infrastructure will enable TSU faculty and students to effectively engage in science and engineering research and education. The new campus network capacity enables TSU to transfer large datasets and improves quality of computational research conducted by science and engineering faculty. Specifically, researchers can connect to TSU's state-of-the art telescopes located in Southern Arizona and perform daily analysis of images of several thousand stars. Bioinformatic researchers can conduct genomic sequencing service facilities to analyze massive and complex datasets of plant tissues at Pittsburgh Supercomputing Center, Vanderbilt Technologies for Advanced Genomic, Cornell's Genomic Diversity Facility and national distributed computing platforms. Cybersecurity researchers can conduct at scale research experiments and take advantage of high speed access to computing servers and Openflow switches on the Global Environment for Network Innovations (GENI) facility. The project also advances undergraduate research, allowing students to conduct data analysis with effective use of computational resources.