CC* Network Design: Network Upgrades to Improve Engagement in Science Discovery and Education

CC* 网络设计：网络升级以提高科学发现和教育的参与度

• 批准号: 1827225
• 负责人: Donna Liss
• 金额: $ 40万
• 依托单位: Truman State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1827225&HistoricalAwards=false
• 关键词: CC; Network; Design; Upgrades; Improve

Truman State University, with the support of the Missouri Research and Education Network (MOREnet) and the University of Missouri, is upgrading the campus network and infrastructure to better enable access to, and use of, scientific data through improved data transfer capabilities for large datasets. The enhanced infrastructure supports faculty and undergraduate research in understanding star spots, quantifying light pollution in geographical areas, understanding the inhibition mechanisms of drugs to treat global health issues, natural language processing to improve approaches in artificial intelligence, and building low-cost, real-time, soil sensors. An expanded curriculum that includes hands-on training in cybersecurity and IPv6 technologies is also enabled by utilizing these network resources. The improvements include upgrades to the network switch and distribution technologies that result in a ten-fold increase in data transfer and access rates for faculty in STEM-related disciplines, as well as increases in the data transfer bandwidth to the campus observatory, deployment of IPv6 in support of the computer science curriculum, establishment of network performance metrics to inform continued growth, and robust and secure access (through federated identity management) to off-campus research tools and intra-institutional collaboration opportunities.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.

在密苏里州研究和教育网络（MOREnet）和密苏里州大学的支持下，杜鲁门州立大学正在升级校园网络和基础设施，以便通过改进大型数据集的数据传输能力，更好地访问和使用科学数据。 增强的基础设施支持教师和本科生的研究，以了解星星点，量化地理区域的光污染，了解药物的抑制机制来治疗全球健康问题，自然语言处理以改善人工智能的方法，并建立低成本，实时，土壤传感器。 通过利用这些网络资源，还可以扩展课程，包括网络安全和IPv6技术的实践培训。 这些改进包括升级网络交换机和分发技术，使STEM相关学科的教师的数据传输和访问速率增加10倍，以及增加校园观测站的数据传输带宽，部署IPv6以支持计算机科学课程，建立网络性能指标以告知持续增长，该奖项反映了NSF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。