CC* Networking Infrastructure: Integrating Big Data Instrumentation into Campus Cyberinfrastructure

CC* 网络基础设施：将大数据仪器集成到校园网络基础设施中

• 批准号: 1827184
• 负责人: Xiaohui Carol Song
• 金额: $ 32.33万
• 依托单位: Purdue 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: 2018-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1827184&HistoricalAwards=false
• 关键词: CC; Networking; Infrastructure; Integrating; Big

Rapid advancements in data-intensive scientific instrumentation have greatly outpaced the capability of campus networking infrastructures to effectively connect big data-producing facilities to powerful computing and storage systems. This delays the analysis, use and dissemination of a huge amount of valuable scientific data for discovery and innovation in multiple science and engineering domains. Purdue's project bridges this gap by improving the campus high-speed network infrastructure between five big data instrument facilities and the centrally supported cyberinfrastructure (CI) consisting of supercomputers, large storage systems and network connections to outside the campus. The facilities support accelerated research in new materials, understanding brain functions and viruses, monitoring lower atmospheric weather, employing geospatial data in teaching and public engagement, and secure computing. The project builds upon a strong partnership between campus information technology experts and domain scientists. It also helps prepare the next generation of CI professionals by pairing student workers with the campus CI experts.The project adds high-speed Science DMZ connections to the five selected big data facilities enabling high-volume, high-velocity, or interactive science data flows to both the campus research cyberinfrastructure and off campus facilities. Existing Cisco Nexus 7710 network switches at the distribution layer are augmented with new 40-Gigabit networking modules, increasing bandwidth to 20-80 Gigabits per second. This should yield a significant increase in research productivity, and more timely publication and dissemination of research data and results, through faster data transfer, easier access to the central computing infrastructure, and more effectively utilizing Purdue's 100-Gigabit WAN connections and research network peerings.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.

数据密集型科学仪器的快速进步已经大大超过了校园网络基础设施有效地将大数据生产设施连接到强大的计算和存储系统的能力。这延迟了多种科学和工程领域中的大量有价值的科学数据的分析，使用和传播。普渡大学的项目通过改善五个大数据仪器设施之间的校园高速网络基础设施和由超级计算机，大型存储系统和校园外的网络连接组成的中心支持的网络基础设施（CI）来弥合这一差距。这些设施支持新材料的加速研究，了解大脑功能和病毒，监测较低的大气天气，在教学和公众参与中采用地理空间数据以及安全计算。该项目建立在校园信息技术专家与领域科学家之间的牢固伙伴关系的基础上。它还通过将学生工人与校园CI专家配对来帮助准备下一代CI专业人员。该项目为五个选定的大数据设施增加了高速科学DMZ连接，从而为校园研究Cyber​​infrasture和Off Campus设施提供了高容量，高速科学或交互式科学数据流。现有的Cisco Nexus 7710网络交换机在分布层增强了新的40 Gabit网络模块，将带宽提高到每秒20-80千兆位。通过更快的数据传输，更容易获得中央计算基础架构的访问以及更有效地利用Purdue的100 Gabit WAN连接和研究网络的同行，这将使研究数据和结果更加及时地发表和传播研究的生产率显着提高，并将其更加及时地提高。这反映了NSF的法规和审查的范围，该奖项是通过评估的范围，这是通过评估的范围，这表明了范围的范围。

项目成果

Mentoring Undergraduates into Cyber-Facilitator Roles

指导本科生担任网络促进者角色

• DOI: 10.1145/3219104.3219138
• 发表时间: 2018
• 期刊: Proceedings of the Practice and Experience on Advanced Research Computing
• 作者: Harrell, Stephen Lien;Brazil, Marisa;Younts, Alex;Dietz, Daniel T.;Smith, Preston;Gough, Erik;Zhu, Xiao;Andino, Gladys K.
• 通讯作者: Andino, Gladys K.

Undergraduate Data Science and Diversity at Purdue University

普渡大学本科数据科学与多样性

• DOI: 10.1145/3332186.3332202
• 发表时间: 2019
• 期刊: Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning
• 作者: Hillery, Elizabett;Ward, Mark Daniel;Rickus, Jenna;Younts, Alex;Smith, Preston;Adams, Eric
• 通讯作者: Adams, Eric