CC-NIE Networking Infrastructure: Enhancing Network Capabilities to Foster Big Data Science at the University of Idaho

该项目消除了特定的网络基础设施瓶颈，以支持爱达荷大学（UI）的大数据科学。本项目实现了一组10倍带宽的升级：1)UI校园核心网；2)西北知识网络数据库；3)美国能源部爱达荷国家实验室（INL），用于NKN数据的复制/镜像，为研究人员提供重要的高性能计算（HPC）和可视化资源。这补充了之前的机构和nsf资助的改进，并实现了真正的每秒10千兆（Gbps）的端到端数据传输，以支持UI的所有研究人员。这些增强功能使大数据不仅可以在生物信息学和进化研究所（IBEST）和西北知识网络（NKN）中移动，还可以在爱达荷大学的所有研究人员中移动。NKN支持数据管理活动和对研究数据集的访问，以响应NSF和其他资助机构的新数据管理要求。这也允许分布式研究人员在协作团队中有效地工作，并通过HPC集群实现大数据分析、可视化和分布式数据集共享。这允许快速处理非常大的数据集，如缩小规模的气候情景、高通量基因组学和包括爱达荷州和太平洋西北地区的遥感数据。它消除了分布式校园实时连接的网络瓶颈（补充了NSF最近的投资），以及用于STEM培训的K-12学校和教育网络。

This project removes specific network infrastructure bottlenecks to support big data science at the University of Idaho (UI). This project implements a set of 10-fold bandwidth upgrades to: 1) the UI campus core network; 2) the Northwest Knowledge Network data repository; and 3) the DoE Idaho National Laboratory (INL) for replication/mirroring of NKN data with proximate access to significant High Performance Computing (HPC) and visualization resources for researchers. This complements previous institutional and NSF-funded improvements and enables true 10 Gigabit per second (Gbps) end-to-end data transfers to support all researchers at the UI.The enhancements enable big data movement at both the Institute for Bioinformatics and Evolutionary Studies (IBEST) and the Northwest Knowledge Network (NKN) specifically, but also for all researchers at the University of Idaho. The NKN supports data management activities and accessibility to research datasets in response to new data management requirements by NSF and other funding agencies. This also allows distributed researchers to work effectively in collaborative teams and enables big data analysis, visualization and sharing of distributed datasets with HPC clusters. This permits rapid processing of very large datasets such as downscaled climate scenarios, high-throughput genomics and remote sensing data encompassing both Idaho and the Pacific Northwest. It removes network bottlenecks for real-time connections to distributed campus locations (complementing recent NSF investments) and K-12 schools and educational networks for STEM training.