Collaborative Research: IRNC: Testbed: FAB: FABRIC Across Borders
Collaborative Research: IRNC: Testbed: FAB: FABRIC Across Borders
批准号:
2029260
负责人:
Kuang-Ching Wang
金额:
$51.0万
依托单位:
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
项目状态:
已结题
起止时间:
2020-09-01 至 2024-08-31
中文摘要
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英文摘要
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.
期刊论文(6)
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Decadal Variability of Southeast US Rainfall in an Eddying Global Coupled Model
涡流全球耦合模型中美国东南部降雨量的年代际变化
DOI:
10.1029/2021gl096709
发表时间:
2021
期刊:
Geophysical Research Letters
影响因子:
5.2
作者:
[Zhang, Wei, Kirtman, Ben, Siqueira, Leo, Xiang, Baoqiang, Infanti, Johnna, Perlin, Natalie]
通讯作者:
Perlin, Natalie
DOI:
10.1175/jcli-d-20-0139.1
发表时间:
2021
期刊:
Journal of Climate
影响因子:
4.9
作者:
[L. Siqueira;B. Kirtman;L. Laurindo]
通讯作者:
L. Siqueira;B. Kirtman;L. Laurindo
DOI:
10.1007/s00382-023-06864-x
发表时间:
2023-06
期刊:
Climate Dynamics
影响因子:
4.6
作者:
[Marybeth Arcodia;B. Kirtman]
通讯作者:
Marybeth Arcodia;B. Kirtman
DOI:
10.1029/2022jd037795
发表时间:
2023-02
期刊:
Journal of Geophysical Research: Atmospheres
影响因子:
--
作者:
[K. Malloy;B. Kirtman]
通讯作者:
K. Malloy;B. Kirtman
Understanding Predictability of Daily Southeast U.S. Precipitation Using Explainable Machine Learning
使用可解释的机器学习了解美国东南部每日降水量的可预测性
DOI:
10.1175/aies-d-22-0011.1
发表时间:
2022
期刊:
Artificial Intelligence for the Earth Systems
影响因子:
--
作者:
[Pegion, Kathy, Becker, Emily J., Kirtman, Ben P.]
通讯作者:
Kirtman, Ben P.
ART: STRIDE - Stimulating Translation of Research via Intentional Development and Ecosystem
-
批准号:2331364
-
项目类别:Cooperative Agreement
-
资助金额:$600.0万
-
财政年份:2024
-
负责人:Kuang-Ching Wang
-
依托单位:
Large Scale Networking (LSN) Workshop on Operationalizing SDN
-
批准号:1747856
-
项目类别:Standard Grant
-
资助金额:$14.84万
-
财政年份:2017
-
负责人:Kuang-Ching Wang
-
依托单位:
EAGER: Towards a Traffic Analysis Resistant Internet Architecture
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批准号:1643020
-
项目类别:Standard Grant
-
资助金额:$25.0万
-
财政年份:2016
-
负责人:Kuang-Ching Wang
-
依托单位:
CC-NIE Integration: Clemson-NextNet
-
批准号:1245936
-
项目类别:Standard Grant
-
资助金额:$99.09万
-
财政年份:2012
-
负责人:Kuang-Ching Wang
-
依托单位:
国内基金
海外基金
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Research on Quantum Field Theory without a Lagrangian Description
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批准号:24ZR1403900
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项目类别:省市级项目
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资助金额:--
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批准年份:2024
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负责人:SATOSHI NAWATA
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依托单位:
Cell Research
-
批准号:31224802
-
项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2012
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负责人:程磊
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依托单位:
Cell Research
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批准号:31024804
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2010
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负责人:程磊
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依托单位:
Cell Research (细胞研究)
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批准号:30824808
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2008
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负责人:张爱兰
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依托单位:
Research on the Rapid Growth Mechanism of KDP Crystal
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批准号:10774081
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项目类别:面上项目
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资助金额:45.0万元
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批准年份:2007
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负责人:滕冰
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依托单位: