CC-NIE Integration: Houston, We have Troubleshooting for the 100 Gbps Network!

该项目名为休斯顿网络基础设施（HoustonCI），为休斯顿大学校园网建立了一个流量分离和分析系统，同时实现了休斯顿大学和莱斯大学校园领域科学实验室的高带宽数据传输。这些实验室都连接到区域网络LEARN （Lonestar教育和研究网络，拥有30多个机构成员的德克萨斯范围网络）、SETG（东南德克萨斯千兆宽带网络，休斯顿大学、莱斯大学、德克萨斯医学中心和休斯顿地区其他机构成员的光纤环路）、GENI（全球网络创新环境）和Internet2 100gbps软件定义网络（SDN）。在这方面，该项目有两个目标：(i)利用软件定义网络（SDN）来分离流量，以便更好地监测高数据传输需求和网络问题所在；（ii）为连接100gbps的第二代互联网网络基础设施铺平道路。研究和开发工作是创建一个利用OpenFlow协议流定义的故障排除框架。该项目将对校园网络工程师产生影响，使他们更深入地了解科学数据传输对网络的利用。一方面，这种故障排除能力将更好地进行校园网络设计和规划过程。另一方面，领域科学家将能够与网络工程师沟通科学数据传输需求。SDN将能够有效地分配带宽，节省机构的校园网络投资。研究方法和结果将通过利用GENI基础设施作为实验测试平台进行测试和演示。

The project, Houston-Cyberinfrastructure (HoustonCI), establishes a flow separation and analysis system for the University of Houston campus network while enabling high bandwidth data transfers from domain science laboratories on the University of Houston and Rice University campuses. These laboratories all connect to the regional networks LEARN (Lonestar Education and Research Network, Texas-wide network with over 30 institution members), SETG (SouthEast Texas Gigapop, Houston-based fiber loop with University of Houston, Rice University, Texas Medical Center, and other institutional members in Houston area), GENI (Global Environment for Network Innovation), and Internet2 100 Gbps software-defined network (SDN). In this respect, the project has two objectives: (i) leverage software-defined networking (SDN) to separate flows for better monitoring of where high data transfer needs and network issues are; and (ii) pave the way towards connecting with 100 Gbps cyber-infrastructure of Internet2. The research and development effort is in the creation of a troubleshooting framework that utilizes OpenFlow protocol flow definitions.The impact of the project will be on campus network engineers having a deeper exposure to network utilization by science data transfers. On one hand, such a troubleshooting capability will better the network design and planning processes on campuses. On the other hand, the domain scientists will be able to communicate science data transfer needs with network engineers. SDN will enable effective allocation of bandwidth with savings in campus networking investments by institutions. The research methods and results will be tested and demonstrated by utilizing the GENI infrastructure as an experimentation testbed.