CC-NIE Network Infrastructure: KGAP: Bridging th Gap in Network Flexibility and Performance for Genomics and Data-Intensive Research at Kansas State University

CC-NIE 网络基础设施：KGAP：缩小堪萨斯州立大学基因组学和数据密集型研究网络灵活性和性能方面的差距

• 批准号: 1341026
• 负责人: Daniel Andresen
• 金额: $ 49.91万
• 依托单位: Kansas 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: 2013-11-01 至 2015-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1341026&HistoricalAwards=false
• 关键词: CC; NIE; Network; Infrastructure; KGAP

This project utilizes NSF support to enhance the networking capabilities at Kansas State University to support high-end applications in science and engineering, particularly bioinformatics, with applications in OpenFlow research and privacy/security.The project adds a pair of high-performance, low-latency OpenFlow-compatible enterprise routers to provide a foundation for upgrading KSU's campus core network to 40GbE, and 10GbE to most major research buildings on campus. KSU is adding another router to set up a science DMZ for research in OpenFlow and Smart Grid research. This impacts over 24 departments in 16 locations, 8,000 undergrad majors, 2,000 grad students, 700 faculty, and $88M in funded research. This system, along with the expertise provided by related personnel, serves as a common hybrid network technology platform for a number of research groups in genomics, smart grids, GIS/environmental modeling and computer security at K-State and off-campus partners.The project increases KSU's ability to look deeper in modeling genomes, Smart Grids, GIS economies and computer security through bringing much greater bandwidth and flexibility to bear, attacking grand challenges like forecasting responses of ecological systems to genetic changes. KSU expects to help protect the nation through developing better understanding of threats to key agricultural products, like the Hessian fly, which attacks wheat. KSU also plans to gain insight into advanced networking and its interaction with controlling the effects of brownouts or sabotage on the electrical grid; and significantly enhance and integrate educational efforts at all levels for data-driven computing, particularly in bioinformatics.

该项目利用 NSF 的支持来增强堪萨斯州立大学的网络能力，以支持科学和工程领域的高端应用，特别是生物信息学，以及 OpenFlow 研究和隐私/安全方面的应用。该项目增加了一对高性能、低功耗兼容 OpenFlow 延迟的企业路由器，为将 KSU 校园核心网络升级到 40GbE 以及将校园内大多数主要研究大楼升级到 10GbE 奠定了基础。 KSU 正在添加另一个路由器来建立科学 DMZ，用于 OpenFlow 和智能电网研究。这影响了 16 个地点的超过 24 个院系、8,000 个本科专业、2,000 名研究生、700 名教师以及 8800 万美元的资助研究。该系统以及相关人员提供的专业知识，为堪萨斯州立大学和校外合作伙伴的基因组学、智能电网、GIS/环境建模和计算机安全领域的许多研究小组提供了通用的混合网络技术平台。该项目通过提供更大的带宽和灵活性来应对诸如预测生态系统对基因变化的反应等重大挑战，从而提高了 KSU 更深入地研究基因组建模、智能电网、GIS 经济和计算机安全的能力。肯塔基州立大学希望通过更好地了解对主要农产品的威胁来帮助保护国家，例如攻击小麦的黑森蝇。 KSU 还计划深入了解先进网络及其与控制电网停电或破坏影响的相互作用；并显着加强和整合各级数据驱动计算的教育工作，特别是在生物信息学方面。