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

该项目涉及威廉玛丽学院网络的四个改进领域，以扩大其在两个校区的研究能力，并旨在实现数据传输能力的现代化。这些方面是：主校区和弗吉尼亚海洋科学研究所之间更快的转移速度；用于研究计算的高速连接的Science DMZ和专用数据传输节点，使用perfSONAR监控服务质量；为主要研究网络用户的办公室和实验室增加专用的10Gbps端口；并增加了Globus许可证，使校园研究网络之间的有效传输成为可能。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传输速率来支持最先进的研究。这些网络增强功能支持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学、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。这组科学家的研究在很大程度上促进了各种知识和发现前沿的进步和转变。3D环境流建模、晶格量子色动力学（LQCD）、沿海生物地球化学建模、发展指标估计的深度学习、国家安全定位人工智能、新型ML模型执行优化的构建和加速器设计模拟等项目都是具有巨大潜力的项目的例子，这些项目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。

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.