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、低延迟的OpenFlow兼容企业路由器，为将堪萨斯州立大学的校园核心网络升级到40 GbE提供基础，和10GbE到校园里的大多数主要研究大楼。KSU正在添加另一个路由器，以建立一个科学DMZ，用于OpenFlow和智能电网研究。这影响了16个地点的24个部门，8,000个本科专业，2,000名研究生，700名教师和8800万美元的资助研究。该系统，沿着由相关人员提供的专业知识，作为一个共同的混合网络技术平台，为基因组学，智能电网，地理信息系统/环境建模和计算机安全的研究小组在K-State和校外的合作伙伴。该项目增加了KSU的能力，更深入地研究建模基因组，智能电网，地理信息系统的经济和计算机安全，通过带来更大的带宽和灵活性承担，应对重大挑战，如预测生态系统对基因变化的反应。KSU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，比如攻击小麦的黑森蝇。KSU还计划深入了解先进的网络及其与控制电力管制或破坏对电网的影响的相互作用;并显着增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。