CC*DNI Networking Infrastructure: Data Driven Research-Wise Network Infrastructure Upgrade ("DaRWiN")

CC*DNI 网络基础设施：数据驱动的研究型网络基础设施升级（“DaRWiN”）

• 批准号: 1541455
• 负责人: Sejun Song
• 金额: $ 50万
• 依托单位: University of Missouri-Kansas City
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541455&HistoricalAwards=false
• 关键词: CC; DNI; Networking; Infrastructure; Data

The Data Driven Research-Wise Network Infrastructure Upgrade (DaRWiN) project upgrades the network infrastructure and external connectivity at the University of Missouri-Kansas City to significantly address research and educational needs of science and engineering for the next five to seven years. This project i) enhances the connectivity between the two physical locations of the university to an ultra-high-speed 100 Gbps backbone, ii) upgrades the connectivity among the core research buildings to 10 Gbps high speed optical links, and iii) establishes dedicated 10 Gbps connections for research to external regional entities that amplifies existing research collaborations among multiple disciplines and foster new opportunities. This project provides an enhanced platform for solving a variety of single-, inter-, and multi-disciplinary problems across several fields of science and engineering. The project particularly assists and promotes the following research activities: end-to-end campus network performance management, large data movement service research, chemical fingerprinting and sequencing research, computational physics and electronic structure research, and human balance and ambulation research. The project broadly impacts both interdisciplinary research and education throughout the university at both the graduate and the undergraduate level.

数据驱动的研究型网络基础设施升级（达尔文）项目升级了密苏里大学堪萨斯城分校的网络基础设施和外部连接，以显著满足未来五到七年科学和工程的研究和教育需求。该项目i）增强了大学两个物理位置之间的连接，以实现超高速100 Gbps骨干网，ii）将核心研究大楼之间的连接升级为10 Gbps高速光链路，iii）为研究建立专用的10 Gbps连接，以扩大多个学科之间的现有研究合作，并创造新的机会。该项目提供了一个增强的平台，用于解决跨多个科学和工程领域的各种单学科，跨学科和多学科问题。该项目特别协助和促进以下研究活动：端到端校园网络性能管理，大数据移动服务研究，化学指纹和测序研究，计算物理和电子结构研究，以及人体平衡和安培研究。该项目广泛影响了整个大学的跨学科研究和教育，包括研究生和本科生。