CC* Networking Infrastructure: Cyberinfrastructure improvements for multi-disciplinary data-intensive scientific research

CC* 网络基础设施：针对多学科数据密集型科学研究的网络基础设施改进

• 批准号: 2126240
• 负责人: Edward Aractingi
• 金额: $ 49.11万
• 依托单位: College of William and Mary
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2126240&HistoricalAwards=false
• 关键词: CC; Networking; Infrastructure; Cyberinfrastructure; improvements

This project addresses four areas of improvement in the College of William & Mary networking that expands its research capacity throughout its two campuses and aims at modernizing the data transfer capabilities. These areas are: Greater transfer speeds between main campus and the Virginia Institute of Marine Science; a Science DMZ for high-speed connectivity for research computing and a dedicated data transfer node which are monitored for quality of service with perfSONAR; addition of dedicated 10Gbps ports for offices and labs of major research network users; and the addition of a Globus license to enable efficient transfers to/from the campus research network. This work upgrades William & Mary’s research computing network to continue supporting multi-disciplinary research which demands higher transfer rates for larger data files needed to support state-of-the-art research.These network enhancements support cross-disciplinary transformative research and discovery by investigators from W&M’s School of Marine Science (Virginia Institute of Marine Science or VIMS) and W&M’s Global Research Institute, as well as by researchers from Physics, Computer Science and Data Science. The research from this group of scientists contributes largely to the advancement and transformation of various frontiers of knowledge and discovery. Projects like 3D Environmental Flow Modeling, Lattice Quantum Chromodynamics (LQCD, Coastal Biogeochemical Modeling, Deep Learning for Estimates of Development Indicators, Location AI for National Security, the building of novel ML model execution optimizations, and simulations of accelerator designs are examples of the projects with great potential to advance knowledge and dependent on the faster network this new cyberinfrastructure expansion provides.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.

该项目涉及威廉和玛丽学院网络的四个方面的改进，该网络将其研究能力扩展到其两个校区，并旨在使数据传输能力现代化。这些领域是：提高主校园和弗吉尼亚海洋科学研究所之间的传输速度；为研究计算提供高速连接的Science DMZ和专用数据传输节点，通过PerformSONAR对服务质量进行监控；为主要研究网络用户的办公室和实验室增加专用10Gbps端口；以及增加Globus许可证，以实现校园研究网络的高效传输。这项工作升级了William&amp；Mary的研究计算网络，以继续支持多学科研究，这些研究需要更高的数据文件传输率来支持最先进的研究。这些网络增强支持W&amp；M海洋科学学院(弗吉尼亚海洋科学研究所或VIMS)和W&amp；M全球研究所的研究人员以及物理、计算机科学和数据科学的研究人员进行跨学科的变革性研究和发现。这组科学家的研究极大地促进了知识和发现的各个前沿领域的进步和变革。3D环境流建模、晶格量子色动力学(LQCD)、海岸生物地球化学建模、发展指标估计的深度学习、国家安全的位置人工智能、构建新型ML模型执行优化以及加速器设计模拟等项目都是极具提升知识潜力的项目，并依赖于这种新的网络基础设施扩展提供的更快的网络。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。