CC* Network Design: The Western South Dakota Research and Education Network

在南达科他州等州，与远程州和国家网络基础设施资源（如先进的计算系统、数据存储和科学仪器）的高速连接至关重要。在这个项目中，南达科他州矿业与技术学院（SDSM&amp；T）和黑山州立大学（BHSU）正在与南达科他州大学（USD）合作，通过解决在农村州部署可访问网络基础设施的独特挑战，改变校园和州网络的设计和运营方式。具体来说，SDSM&amp；T和BHSU正在建设校园网络基础设施，以支持多学科研究和教育，包括：先进的成像和显微镜，地下科学，天气预报和高通量基因测序。该项目在一年级构思和设计了一个系统架构，并在二年级部署，旨在通过重新构建校园网络和区域聚集点来提高南达科他州西部的STEM研究和教育生产力，使它们能够针对当前和未来的研究和教育应用进行优化。体系结构特征包括科学DMZ方法的各个方面，以简化学术数据流；改善科技大楼与核心网络之间的有线和无线连接；利用现有的校园边缘PerfSONAR节点以及每个校园核心的新节点进行网络测量；基于Flash IO网络设备的数据传输节点；和用于数据移动的Globus中间件。在州、地区和国家顾问的指导下，这一合作正在为农村地区的无障碍网络基础设施建立一个聚合模型，在农村地区，资源不足的机构是常态。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

High-speed connectivity to remote state and national cyberinfrastructure resources such as advanced computing systems, data stores, and scientific instrumentation is crucial in states like South Dakota. For this project, the South Dakota School of Mines and Technology (SDSM&T) and Black Hills State University (BHSU) are collaborating with the University of South Dakota (USD) to transform the way campus and state networks are designed and operated by addressing the unique challenges of deploying accessible cyberinfrastructure in a rural state. Specifically, SDSM&T and BHSU are building out campus network infrastructure in support of multidisciplinary research and education including: advanced imaging and microscopy, underground science, weather prediction, and high throughput genetic sequencing.With a system architecture conceived and designed in year 1 and deployed in year 2 this project aims to increase STEM research and education productivity in western South Dakota by re-architecting campus networks and regional aggregation points so that they are optimized for current and future research and education applications. Architectural characteristics include aspects of the Science DMZ approach to streamline academic data flows; improved wired and wireless connections within and between science buildings and the network core; network measurement leveraging existing campus edge PerfSONAR nodes as well as new nodes at each campus core; data transfer nodes based on the Flash IO Network Appliance; and Globus middleware for data movement. With guidance from state, regional, and national advisors this collaboration is establishing an aggregation model for accessible cyberinfrastructure in rural regions where under-resourced institutions are the norm.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.