CC-NIE Network Infrastructure: Enhancements to Support Data-Driven Discovery at the University of Washington

华盛顿大学是由来自不同领域的国际公认的教师进行的领先研究项目的所在地，包括海洋学，天文学，物理学，基因组学，计算机科学，生物工程和气候建模等。这些努力依赖于UW和远程站点之间的高吞吐量数据传输，以及UW实验室系统和驻留在我们的校园网Science DMZ中的集中管理的可扩展研究计算和存储系统之间的数据传输。该项目使用混合的二层/三层（L2/L3）方法，增强了华盛顿大学校园网专用研究设施的连接选项。这些增强功能取代了以前的临时方法，以满足领先研究人员的需求，采用可持续和可扩展的方法。这些改进通过使新兴的数据驱动发现世界成为可能，促进了广泛的高影响力科学项目的进步。华盛顿大学科学研究所为数据驱动的发现提供了“智力基础设施”。这个项目产生的增强功能提供了“物理基础设施”的关键组成部分。随着科学发现的发展，这两者对于华盛顿大学保持领先地位至关重要。这一努力直接并立即为涉及教师、博士后研究员、研究科学家、本科生和研究生的广泛科学项目的能力提供了戏剧性的增强。它还极大地增加了华盛顿大学关键设施和数据对区域、国家和国际科学家的可访问性，以及华盛顿大学科学家对远程设施和数据的可访问性。

The University of Washington is home to leading research programs conducted by internationally recognized faculty from diverse domains including oceanography, astronomy, physics, genomics, computer science, bioengineering, and climate modeling, among others. These efforts depend on high throughput data transfers between UW and remote sites, as well as between UW laboratory systems and centrally managed scalable research compute and storage systems residing in our campus network Science DMZ.This project enhances the connectivity options of the University of Washington campus network facility dedicated exclusively to research, using a hybrid Layer-2/Layer-3 (L2/L3) approach. These enhancements replace previous ad hoc approaches to meeting the requirements of leading researchers with sustainable and scalable approaches. The enhancements are catalyzing advances in a broad range of high-impact science projects by enabling the emerging world of data-driven discovery. The UW eScience Institute provides the "intellectual infrastructure" for data-driven discovery. The enhancements generated from this project provide a critical component of the "physical infrastructure". The two together are essential for UW to remain at the leading edge as the nature of discovery evolves.This effort directly and immediately provides a dramatic enhancement to the capabilities of a broad range of science programs involving faculty, postdoctoral fellows, research scientists, and undergraduate and graduate students. It also dramatically increases the accessibility of key UW facilities and data to scientists regionally, nationally, and internationally, and the accessibility of remote facilities and data to UW scientists.