CC-NIE Data-Driven Network Infrastructure Upgrade for Colorado State University

CC-NIE 科罗拉多州立大学数据驱动网络基础设施升级

• 批准号: 1245428
• 负责人: Patrick Burns
• 金额: $ 48.69万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1245428&HistoricalAwards=false
• 关键词: CC; NIE; Data; Driven; Network

This project provides a significant upgrade to the campus Local and Wide Area Networks at Colorado State University to support large data flows for research. Specifically, a research infrastructure component is added to the campus network, encompassing 40 gigabit per second connections to research projects on campus with large data transport needs. Dynamic routing is implemented over the Internet2 network to allow network capacity to be reserved for specific large data flows. Additional network capacity is provided to the Front Range GigaPoP where Internet2, National Lambda Rail, and commodity internet access are provided, to accommodate the dynamic traffic as well as all other research traffic requiring large data transport. Specific projects with large data transport needs that benefit from the project are: 1) innovative engineering and scientific design of Extreme Ultraviolet Lasers at nanoscale (huge data sets, frequently produced and shared with external collaborators), 2) world-class ultra-high resolution, multi-physics climate modeling (huge data sets, transported regularly to and from HPC centers), 3) innovative data collection and dissemination of Internet traffic exhibiting malware patterns (huge, shared data sets, shared internationally), 4) two complementary next-generation climate modeling projects involving comprehensive, regional ecosystem analysis (huge, multi-faceted data sets, shared regionally and worldwide), and 5) state-of-the-art genomic analysis for pre-clinical drug design (huge and numerous data sets). However, the entire community of users benefits from added network capacity for dynamic and other research traffic that frees up capacity on the generic network.

该项目为科罗拉多州立大学的校园本地和广泛地区提供了重大升级，以支持大型数据流以进行研究。具体而言，将研究基础设施组件添加到校园网络中，其中包括每秒40千兆位连接到校园内有较大数据运输需求的研究项目。动态路由是通过Internet2网络实现的，以允许为特定的大数据流提供保留网络容量。提供了额外的网络容量，向前排gigapop提供了Internet2，National Lambda Rail和商品互联网访问，以适应动态流量以及所有其他需要大量数据运输的研究流量。 Specific projects with large data transport needs that benefit from the project are: 1) innovative engineering and scientific design of Extreme Ultraviolet Lasers at nanoscale (huge data sets, frequently produced and shared with external collaborators), 2) world-class ultra-high resolution, multi-physics climate modeling (huge data sets, transported regularly to and from HPC centers), 3) innovative data collection and dissemination of Internet traffic exhibiting malware patterns （庞大的，共享的数据集，国际共享），4）两个互补的下一代气候建模项目涉及涉及全面的区域生态系统分析（巨大的，多方面的数据集，共享的区域和全球共享），以及5）5））最先进的基因组学基因组分析（巨大的和众多数据集）。但是，整个用户社区从增加的动态和其他研究流量的网络容量中受益，这些网络能够释放通用网络上的容量。