CC*IIE Engineer: University of Washington Cyberinfrastructure Engineer

CC*IIE 工程师：华盛顿大学网络基础设施工程师

• 批准号: 1440281
• 负责人: Brad Greer
• 金额: $ 38.34万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1440281&HistoricalAwards=false
• 关键词: CC; IIE; Engineer; University; Washington

In response to the rapid emergence of data-driven science and research ("Big Data"), the University of Washington (UW) NSF-funded Cyberinfrastructure (CI) Engineer works jointly with UW science and research teams to apply scalable, virtual constructs to passive network infrastructure. These efforts are meant to provide meaningful constructs (data analysis results and/or visualizations) to researchers as quickly and transparently as possible. The CI Engineer focuses on solutions for Big Data transfers, storage, and retrieval and reducing the complexity associated with information sharing among large collaboration teams. Domain research projects enhanced and enabled through these activities span astronomy, physics, and genomics at UW. UW's CI Engineer assists scientists in using optimized UW research network configurations that includes a 40G campus backbone, Science DMZ, and a 100G connection to global research network infrastructures, and, as appropriate, identifies opportunities to apply virtualized network resources, such as dynamic circuit services and cloud storage. The UW CI Engineer actively participates in UW's several data-driven science initiatives such as eScience Institute and the Data Science Studio, as well as collaborates in national and international programs aimed at serving scientific discovery.

为了应对数据驱动科学研究（“大数据”）的快速出现，华盛顿大学 (UW) NSF 资助的网络基础设施 (CI) 工程师与华盛顿大学科学和研究团队合作，将可扩展的虚拟结构应用于无源网络基础设施。这些努力旨在尽可能快速、透明地向研究人员提供有意义的结构（数据分析结果和/或可视化）。 CI 工程师专注于大数据传输、存储和检索的解决方案，并降低大型协作团队之间信息共享相关的复杂性。通过这些活动，华盛顿大学的领域研究项目涵盖了天文学、物理学和基因组学。华盛顿大学的 CI 工程师协助科学家使用优化的华盛顿大学研究网络配置，其中包括 40G 校园主干网、科学 DMZ 以及与全球研究网络基础设施的 100G 连接，并酌情确定应用虚拟化网络资源（例如动态电路服务）的机会和云存储。华盛顿大学 CI 工程师积极参与华盛顿大学的多项数据驱动科学计划，例如 eScience Institute 和 Data Science Studio，并在旨在服务科学发现的国家和国际项目中进行合作。