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CC* Networking Infrastructure: High Performance Research Data Infrastructure at the American Museum of Natural History

CC* Networking Infrastructure: High Performance Research Data Infrastructure at the American Museum of Natural History
CC* 网络基础设施:美国自然历史博物馆的高性能研究数据基础设施
批准号:
1827153
负责人:
Juan Montes
金额:
$49.97万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-01 至 2021-06-30

项目摘要

项目成果

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中文摘要
翻译
通过国家科学基金会?该项目为美国自然历史博物馆(AMNH)提供了一个主要的数据网络升级,使科学数据流动成为优先事项。AMNH开展涵盖天体物理学、地球科学和基因组学的科学研究和教育活动。科学合作需要增加科学仪器、合作者和研究人员之间的网络能力。AMNH的这些数据网络改进直接支持了这些研究活动。AMNH在其校园和全国乃至世界各地的其他站点之间快速移动大型数据集的能力对博物馆研究计划的成功至关重要。在这个项目中,AMNH实现了一个高速的Science DMZ,这是一个专门针对大数据传输进行调优的网络。通过科学非军事区,AMNH连接到NYSERNet研究和教育网络,该网络提供了通往纽约州高等教育社区、Internet2和其他地方的途径。使用基于FIONA概念的专用数据传输节点(DTNs), AMNH科学家可以通过专用的10Gb/s连接在研究设施、超级计算中心和合作者之间移动各种大规模数据集。获得的效率使更大的协作,更智能和及时的研究协调,并提高了研究的吞吐量和质量。为了进一步促进合作,该项目利用GLOBUS文件传输系统轻松地协调数据传输,并将AMNH的研究成果传播给更广泛的研究社区。此外,AMNH与InCommon Federation集成,利用通用框架为研究人员提供对在线资源的安全访问。使用perfSONAR,可以持续监控Science DMZ,以确保满足吞吐量、延迟和性能目标,并且数据可以畅通无阻地流动。这使得博物馆的研究人员可以专注于科学,而不是移动数据的后勤细节。此外,AMNH科学家的工作为博物馆的教育和策展计划提供了信息,直接使AMNH的学生和公众受益。该奖项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知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Through the National Science Foundation?s Campus Cyberinfrastructure (CC*) program, this project provides a major data network upgrade for the American Museum of Natural History (AMNH) that makes scientific data flows a priority. AMNH conducts scientific research and education activities spanning astrophysics, geosciences, and genomics. Scientific collaborations require increasing network capacity among scientific instruments, collaborators and researchers. These data networking improvements to AMNH directly support these research activities. AMNH's ability to move large data sets quickly between its campus and other sites across the nation and throughout the world is critical to the success of the Museum's research program.In the project, AMNH implements a high-speed Science DMZ, a network specifically tuned for large data transfers. Through the Science DMZ, AMNH connects to the NYSERNet Research and Education Network, which provides pathways to the higher education community in New York State, Internet2, and beyond. Using purpose-built Data Transfer Nodes (DTNs) based on the FIONA concept, AMNH scientists can move diverse, large-scale data sets between research facilities, supercomputing centers, and collaborators via a dedicated 10Gb/s connection. The efficiencies gained enable greater collaboration, more intelligent and timely coordination of research, and increased research throughput and quality. To further facilitate collaboration, the project leverages the GLOBUS file transfer system to easily orchestrate data transfers and for disseminating AMNH's research to the broader research community. Additionally, AMNH integrates with the InCommon Federation, utilizing a common framework to provide researchers secure access to online resources. Using perfSONAR, the Science DMZ is continually monitored to ensure that throughput, latency, and performance targets are met, and data can flow unimpeded. This allows Museum researchers to focus on science rather than the logistical details of moving data. Additionally, the work of AMNH scientists informs the Museum's educational and curatorial programs, directly benefitting AMNH students and the public.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.
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Research Infrastructure: CC* Data Storage: Multi-Petabyte Open Storage (MPOS) at the American Museum of Natural History
  • 批准号:
    2232857
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.82万
  • 财政年份:
    2022
  • 负责人:
    Juan Montes
  • 依托单位:
CC* Compute: High Performance Campus Computing for Institutional Research at the American Museum of Natural History
  • 批准号:
    1925590
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.93万
  • 财政年份:
    2019
  • 负责人:
    Juan Montes
  • 依托单位:
海外基金