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

该项目为科罗拉多州立大学的校园局域网和广域网提供了重大升级，以支持研究的大数据流。具体来说，校园网中增加了一个研究基础设施组件，包括每秒40千兆比特的连接，以满足校园内具有大数据传输需求的研究项目。动态路由是在Internet2网络上实现的，允许为特定的大数据流保留网络容量。额外的网络容量提供给Front Range GigaPoP，其中提供了Internet2、National Lambda Rail和商品互联网接入，以适应动态流量以及需要大数据传输的所有其他研究流量。具有大数据传输需求的具体项目将受益于该项目：1)纳米级极紫外激光器的创新工程和科学设计（庞大的数据集，经常产生并与外部合作者共享），2)世界级的超高分辨率，多物理场气候建模（庞大的数据集，定期从HPC中心传输），3)创新的数据收集和传播显示恶意软件模式的互联网流量（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，涉及全面的区域生态系统分析（巨大的，多方面的数据集，区域和全球共享）；5)最先进的临床前药物设计基因组分析（巨大的和众多的数据集）。然而，整个用户社区都受益于动态和其他研究流量的网络容量增加，从而释放了通用网络上的容量。

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.