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发展大大超过了园区网络基础设施将大数据生产设施有效连接到强大的计算和存储系统的能力。这推迟了对大量有价值的科学数据的分析、使用和传播，这些数据用于在多个科学和工程领域进行发现和创新。普渡的项目通过改善五个大数据仪器设施和中央支持的网络基础设施(CI)之间的校园高速网络基础设施来弥合这一差距，CI由超级计算机、大型存储系统和到校园外的网络连接组成。这些设施支持加快新材料的研究，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使用地理空间数据，以及安全计算。该项目建立在校园信息技术专家和领域科学家之间强有力的合作伙伴关系之上。该项目还通过将学生工作者与校园CI专家配对来帮助培养下一代CI专业人员。该项目将高速Science DMZ连接添加到选定的五个大数据设施，使大量、高速或交互的科学数据流能够同时流向校园研究网络基础设施和校外设施。分布层的现有Cisco Nexus 7710网络交换机增加了新的40 Gb网络模块，将带宽提高到每秒20-80 Gb。这将显著提高研究生产率，并通过更快的数据传输、更轻松地访问中央计算基础设施以及更有效地利用普渡大学的100千兆位广域网连接和研究网络对等来更及时地发布和传播研究数据和结果。该奖项反映了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。

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