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。 这些努力依赖于高吞吐量的数据传输之间的华盛顿大学和远程站点，以及华盛顿大学实验室系统和集中管理的可扩展的研究计算和存储系统驻留在我们的校园网络科学DMZ。该项目增强了华盛顿校园网络设施的连接选项专门用于研究，使用混合层2/层3（L2/L3）的方法。 这些增强功能取代了以前的临时方法，以可持续和可扩展的方法满足领先研究人员的要求。这些增强功能通过支持新兴的数据驱动发现世界，正在催化广泛的高影响力科学项目的进步。 UW eScience Institute为数据驱动的发现提供了“知识基础设施”。 这一项目产生的改进提供了"有形基础设施"的一个关键组成部分。 这两者结合在一起是必不可少的UW保持在前沿的发现的性质演变.这一努力直接和立即提供了一个戏剧性的增强涉及教师，博士后研究员，研究科学家和本科生和研究生的广泛的科学计划的能力. 它还大大增加了关键的UW设施和数据的可访问性，以科学家在区域，国家和国际上，以及远程设施和数据的UW科学家的可访问性。

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.