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

在南达科他州这样的州，高速连接到先进的计算系统、数据存储和科学仪器等远程州和国家网络基础设施资源是至关重要的。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(U.S.)合作，通过解决在农村州部署无障碍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。具体地说，SDSM&amp；T和BHSU正在建设校园网络基础设施，以支持多学科的研究和教育，包括：高级成像和显微镜、地下科学、天气预报和高通量基因测序。该项目的系统架构于第一年构思和设计，并于第二年部署，旨在通过重新设计校园网络和区域聚合点来提高南达科他州西部的STEM研究和教育生产率，使其针对当前和未来的研究和教育应用进行优化。架构特点包括简化学术数据流的Science DMZ方法的各个方面；改进了科学楼内部和之间的有线和无线连接；利用现有校园边缘PerfSONAR节点以及每个校园核心处的新节点进行网络测量；基于闪存IO网络设备的数据传输节点；以及用于数据移动的Globus中间件。在州、地区和国家顾问的指导下，这项合作正在为农村地区可访问的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。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.