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.

全球科学依赖于强大的、相互关联的组件--计算机、存储、网络和将它们联系在一起的软件--统称为科学网络基础设施(CI)。对单个组件的改进速度各不相同，往往会在信息流--科学工作流程--中造成瓶颈，并减缓科学发现的速度。跨国界交换矩阵(FAB)使领域科学家和CI专家能够共同开发更紧密、更灵活、更智能、更易于编程的工作流程，利用技术的快速变化来改善全球科学协作。FAB使领域科学家能够在具有一种功能的平台上对新的CI工作流程想法进行全球、端到端的实验。该项目将NSF资助的结构试验台扩展到另外四个国际地点，创建了一个相互连接的资源，在此资源上，来自高能物理(HEP)、天文学、宇宙学、气象学、城市科学和计算机科学的首批科学家与网络基础设施专家合作，进行网络基础设施实验。除了领域科学家，FAB还在互联网自由领域进行合作，并与人权组织保持密切的合作伙伴关系，这有助于将成果扩展到领域科学之外。FABRIC节点在单个集成机架中包含可编程网络硬件、存储、CPU和GPU、测量设备和软件。FAB可以在东京、阿姆斯特丹、布里斯托尔和日内瓦的粒子物理实验室CERN的合作伙伴数据中心中额外放置四个节点，并通过NSF资助的国际网络将它们连接起来，在这些网络上进行实验是可能的，而不会影响生产科学。FAB提供与生产网络和专用试验台的可编程对等，允许实验者拓扑与生产网络连接，极大地扩展了可以利用基础设施的资源类型和用户的可能性。FAB为这些设施的研究人员创建新的软件服务和工具，并与现有的和不断发展的数据交付服务对接，以有效地在全球移动和处理科学数据，并测试可大规模扩展的新型数据分析方法。衡量成功的标准是由科学实验本身推动的：更有效地处理来自CERN实验的高能物理数据给世界各地的合作者，以及在南美洲和南极收集的宇宙微波背景数据；成功地证明了共享智慧城市传感器数据用于城市规划以及建立全球专用5G网络的概念。所有与FAB相关的软件都将是开源的，并发布在公开可用的存储库中：https://github.com/fabric-testbed/This奖反映了美国国家科学基金会的法定使命，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。