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

CC-NIE 网络基础设施：增强网络能力以促进爱达荷大学的大数据科学

• 批准号: 1341040
• 负责人: Paul Gessler
• 金额: $ 44.8万
• 依托单位: Regents of the University of Idaho
• 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: 2013-10-01 至 2015-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1341040&HistoricalAwards=false
• 关键词: CC; NIE; Networking; Infrastructure; Enhancing

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.

该项目消除了特定的网络基础设施瓶颈，以支持爱达荷州大学（UI）的大数据科学。该项目实现了一组10倍带宽升级：1）UI校园核心网络; 2）西北知识网络数据存储库; 3）DoE爱达荷州国家实验室（INL），用于复制/镜像NKN数据，并为研究人员提供重要的高性能计算（HPC）和可视化资源。这补充了以前的机构和NSF资助的改进，并实现了真正的每秒10千兆位（Gbps）端到端数据传输，以支持UI的所有研究人员。这些增强功能使生物信息学和进化研究所（IBEST）和西北知识网络（NKN）的大数据移动成为可能，特别是对于爱达荷州大学的所有研究人员。NKN支持数据管理活动和研究数据集的可访问性，以响应NSF和其他资助机构的新数据管理要求。这还允许分布式研究人员在协作团队中有效工作，并实现大数据分析，可视化和与HPC集群共享分布式数据集。这使得能够快速处理非常大的数据集，如缩小规模的气候情景，高通量基因组学和遥感数据，包括爱达荷州和太平洋西北部。它消除了实时连接到分布式校园位置（补充最近的NSF投资）和K-12学校和STEM培训教育网络的网络瓶颈。