Data-Driven Networking Infrastructure: The Development of Cyberinfrastructure to Support Scientific and Engineering Research at West Virginia University

西弗吉尼亚大学（WVU）在国家科学基金会的校园网络基础设施-基础设施，创新和工程计划的支持下，部署了一个新的校园网络基础设施架构。 这一新架构专门设计用于通过实施高性能研究数据网络基础设施来支持、促进和推进科学和工程研究和发现。 该项目利用了之前对高性能校园网络骨干网的投资，并在校园核心与关键的科学和工程研究以及教育资产之间建立了高性能的端到端连接。更具体地说，西弗吉尼亚大学项目团队1）创建校园网络核心与其基因组学核心研究设施，天体物理学分析中心，神经科学研究计划和科学，技术，工程和数学（STEM）教育实验室之间的高速连接; 2）实施科学DMZ（一条科学“快速通道”），用于高性能科学应用数据传输;以及3）建立数据传输节点，作为大规模科学数据传输的高性能端点。这一努力将导致高性能的端到端终端带宽将这些研究资产连接到校园网络骨干，并反过来将它们连接到研究社区和校园内的其他资源以及国际研究和教育网络基础设施。 这将使数据驱动的科学的新水平，一直很难，如果不是不可行的，在西弗吉尼亚大学进行。

West Virginia University (WVU) is, with the support of the National Science Foundation's Campus Cyberinfrastructure - Infrastructure, Innovation and Engineering program, deploying a new campus cyberinfrastructure architecture. This new architecture is specifically designed to support, foster and advance scientific and engineering research and discovery through the implementation of a high performance research data networking infrastructure. This project capitalizes on previous investments in a high performance campus network backbone and creates high performance end-to-end connectivity between the campus core and critical scientific and engineering research and education assets. More specifically, the WVU project team is 1) creating high speed connectivity between the campus network core and its Genomics Core research facility, the astrophysics analysis center, its neuroscience research program, and the Science, Technology, Engineering and Math (STEM) Education Lab; 2) implementing a science DMZ (a science "express lane") within the campus network for high performance science application data transfers; and 3) establishing a data transfer node to serve as a high performance end-point for large scale transfers of scientific data.This effort will result in high performance end-to-end bandwidth connecting these research assets to the campus network backbone, and in turn, connecting them to the research community and other resources across campus and to the international research and education network infrastructure. This will enable new levels of data-driven science that have been difficult if not infeasible to carry out at WVU.