CC*IIE Networking Infrastructure: Enabling Scientific Discovery through a UW-DMZ

怀俄明大学正在开发一种环境，为研究人员和学生提供访问当地、地区、国家和国际计算、网络和数据存储资源的机会，这些资源是改变科学发现和教育所需的。该大学正在开发一个名为UW-DMZ(怀俄明大学非军事区)的周边网络，该网络包含并向互联网暴露该大学的对外服务。UW-DMZ通过提供利用高性能、动态网络服务所需的基础设施，增强了基于大计算和大数据的研究。研究的依据是从实地工作和传感器网络收集的各种数据，从数据库中挖掘出来的，通过实验室实验观察到的，或通过模拟产生的。将数据从其来源转移到计算和可视化资源，然后再转移到科学界是至关重要的。该大学从主计算机中心到外部世界的连接良好，但目前研究人员通过通用校园网传输数据。UW-DMZ创建了一个专门为大数据应用而设计的研究优化的高速网络，并为研究人员提供对校园现有广域科学服务的访问。高年级和研究生级别网络课程中的课堂项目有助于针对不同的用户和应用监控、评估和优化UW-DMZ，从而为学生提供更深入、更丰富的体验。通过该大学与杰克逊州立大学在环境水文学方面的重大研究合作，他们的学生和教职员工接受了访问和使用计算和可视化资源的培训，并获得了如何通过管理和集成大计算和大数据来促进科学发现的第一手经验。

The University of Wyoming is developing an environment providing researchers and students with access to local, regional, national, and international computational, networking, and data storage resources needed to transform scientific discovery and education. The university is developing a perimeter network named UW-DMZ (University of Wyoming DeMilitarized Zone) that contains and exposes the university's external facing services to the Internet. UW-DMZ enhances Big Computing and Big Data based research by providing infrastructure needed to leverage high performance, dynamic network services. Research is informed by a wide variety of data collected from field work and sensor networks, mined from databases, observed by lab experiments, or generated by simulations. The movement of data from their source to computational and visualization resources and then to the scientific world is critical. The university has good connectivity from the main computer center to the outside world, but currently researchers transfer data through a general purpose campus network. UW-DMZ creates a research optimized, devoted high speed network that is explicitly designed for Big Data applications and provides researchers access to existing wide area science services on campus.Class projects in upper division and graduate level networking classes help monitor, evaluate, and optimize UW-DMZ for different users and applications, thus providing students with deeper, enriching experiences. Through the university's significant research collaborations with Jackson State University on environmental hydrology, their students and faculty are trained in accessing and using computational and visualization resources and gain firsthand experience in how to facilitate scientific discovery through management and integration of Big Computing and Big Data.