Collaborative Research: IRNC: Testbed: FAB: FABRIC Across Borders

合作研究：IRNC：测试平台：FAB：FABRIC 跨境

• 批准号: 2029261
• 负责人: Paul Ruth
• 金额: $ 177.54万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2029261&HistoricalAwards=false
• 关键词: Collaborative; Research; IRNC; Testbed; FAB

Global science relies on robust, interconnected components - computers, storage, networks and the software that ties them together - collectively called the scientific cyberinfrastructure (CI). Improvements to individual components are made at varying paces, often creating bottlenecks in the flow of information - the scientific workflow - and slowing down scientific discovery. FABRIC Across Borders (FAB) enables domain scientists and CI experts to jointly develop a more tightly integrated, flexible, intelligent, easily programmable workflow that takes advantage of rapid changes in technology to improve global science collaboration. FAB enables domain scientists to perform global, end-to-end experimentation of new CI workflow ideas on a platform with one of a kind capabilities. The project expands the NSF-funded FABRIC testbed to encompass four additional, International locations, creating an interconnected resource on which an initial set of scientists from High Energy Physics (HEP), Astronomy, Cosmology, Weather, Urban Science and Computer Science work with cyberinfrastructure experts to conduct cyberinfrastructure experiments. In addition to domain scientists, FAB collaborates in the area of Internet freedom and maintains strong partnerships with human rights groups, which serve to expand the results beyond domain sciences.FABRIC nodes contain programmable networking hardware, storage, CPUs and GPUs, measurement devices and software in a single, integrated rack. FAB enables placement of four additional nodes in partner data centers in Tokyo, Amsterdam, Bristol and the particle physics lab CERN in Geneva and connects them via NSF-funded International networks, on which it’s possible to conduct experiments without impacting production science. FAB offers programmable peering with production networks and specialized testbeds, allowing experimenter topologies to be joined with production networks, vastly expanding the possibilities for the types of resources and users that can utilize the infrastructure. FAB creates new software services and tools for researchers at the facilities, and interfaces with existing and evolving data delivery services to efficiently move and process scientific data globally and test novel data analysis approaches that scale to massive volumes. Metrics of success are driven by the science experiments themselves: more efficient handling of both high energy physics data from CERN experiments to worldwide collaborators and Cosmic Microwave Background data collected in South America and the South Pole; successful proofs of concept for the sharing of Smart City sensor data for urban planning as well as the establishment of global, private 5G networks. All software associated with FAB will be open source and posted in a publicly available repository: https://github.com/fabric-testbed/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.

全球科学依靠强大的计算机，存储，网络和软件，它们将科学的网络基础结构（CI）（科学工作流程） - 科学工作流程降低。利用技术的快速变化来改善Obal Science Collaporation Fab使域科学家可以进行全球项目扩展NSF资助的面料测试床，以涵盖四个附加的国际位置，从而创建了一个相互联系的资源与网络弗雷斯特实验的Cyber​​infraster专家（HEP），除了领域科学家外，还可以通过人权群体来保持强大的效果，这些结果超出了结果。 ，在东京的合作伙伴数据中心，布里斯托尔和粒子物理实验室中的cern中心，并通过NSF资助的国际运​​输局将其连接起来。网络，大大扩展了资源的类型和用户可以为设施的研究人员使用软件和工具，并发展数据传递服务以有效地在全球范围内移动和处理数据，并测试新的数据分析方法。从CERN CERN实验的高能物理数据的效率更高私人5G网络。和更广泛的影响审查标准。