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CC* Networking Infrastructure: A Science DMZ For Quantitative Biology and Precision Agriculture

CC* 网络基础设施：定量生物学和精准农业的科学 DMZ

基本信息

批准号：
2018432
负责人：
Brian O'Shea
金额：
$ 48.31万
依托单位：
Michigan State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-07-01 至 2022-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018432&HistoricalAwards=false
关键词：
CC Networking Infrastructure Science DMZ

项目摘要

Moore’s Law has ushered in a scientific data revolution. This is particularly acute in the life sciences, where the devices used to collect data and the theoretical tools used to generate models have benefited tremendously from the advent of inexpensive digital sensors and general-purpose graphics processing units, which have led to an explosive increase in the volume of high-quality data. Sharing large amounts of this data for analysis by other researchers will result in tremendous benefits to the scientific community.This project creates a Science DMZ at Michigan State University, which will facilitate MSU researchers’ ability to share huge volumes of data with the external research community at very high bandwidth. The project supports the networking hardware and software necessary to implement up to 100Gbps network connections used for sharing data already stored at MSU’s High Performance Computing System and on the NSF-funded MI-OSIRIS file system. The project uses data provided by four research groups on campus as a testbed, making cryo-electron microscopy images, hyperspectral imaging of crops using drones, three-dimensional volumetric images of plants generated via X-ray computed tomography, and a databank of biomolecular simulation data available to other researchers and the public. This project enhances the impact of MSU scientists and leverages prior NSF scientific and cyberinfrastructure investments. In addition, it involves the participation of students in the deployment and usage of the science DMZ.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

摩尔定律开启了一场科学数据革命。这在生命科学中尤为突出，用于收集数据的设备和用于生成模型的理论工具大大受益于廉价数字传感器和通用图形处理单元的出现，这些设备和工具导致高质量数据量的爆炸性增长。共享大量数据以供其他研究人员分析将为科学界带来巨大好处。该项目在密歇根州立大学创建了一个科学非军事区，这将促进密歇根州立大学的研究人员能够以非常高的带宽与外部研究社区共享大量数据。该项目支持实现高达100Gbps的网络连接所需的网络硬件和软件，用于共享已经存储在MSU的高性能计算系统和NSF资助的MI-OSIRIS文件系统上的数据。该项目使用校园内四个研究小组提供的数据作为试验台，制作冷冻电子显微镜图像、使用无人机对作物进行高光谱成像、通过X射线计算机断层扫描生成植物的三维体积图像，以及向其他研究人员和公众提供生物分子模拟数据的数据库。该项目加强了密歇根州立大学科学家的影响力，并利用了美国国家科学基金会先前的科学和网络基础设施投资。此外，它还涉及学生参与科学非军事区的部署和使用。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。