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.

数据驱动研究驱动的研究网络基础设施升级（DARWIN）项目升级了密苏里 - 堪萨斯城市的网络基础设施和外部连接，以在接下来的五到七年内显着满足科学和工程的研究和教育需求。该项目i）提高了大学的两个物理位置与超高速度100 Gbps主链的连接性，ii）升级到10 Gbps的核心研究建筑物之间的连通性，并建立了专用于10 Gbps的GBPS连接，以扩大多个学科和新的研究机会的外部区域实体，以建立10 Gbps的连接。该项目提供了一个增强的平台，用于解决科学和工程几个领域的各种单，跨学科问题。该项目尤其有助于并促进以下研究活动：端到端校园网络绩效管理，大数据运动服务，化学指纹和测序研究，计算物理和电子结构研究以及人类平衡与流动研究。该项目广泛影响整个大学的跨学科研究和研究生和本科层面的教育。