EAGER: University of Washington (UW) Openflow Research

该项目将为华盛顿大学的计算机科学、物理和天文学大楼部署一个试验性OpenFlow网络（软件定义网络[SDN]的一种形式）。这种能力将使高性能层2连接到桌面的GENI实验和高性能计算应用程序。 该项目将提供一个机会，为OpenFlow承诺的创新开发一个操作模型，并促进对如何将OpenFlow集成到校园网络基础设施中的理解。 差旅预算包括用于向广泛的GENI社区和非技术用户社区分享和展示研究结果。尽管OpenFlow目前正在被广泛讨论，并且是GENI架构中的关键元素，但使用它的操作或校园级架构经验很少。特别是，OpenFlow和其他SDN技术到科学DMZ的集成以及校园安全和政策的其他问题在操作环境中没有得到充分理解。项目成果包括向其他园区网络运营商、SDN研究人员和业界报告成果和经验教训。更广泛的影响：OpenFlow和其他软件定义的网络方法有可能在我们新兴的数据驱动发现世界中改变高容量数据传输和网络。华盛顿大学的OpenFlow拟议部署，沿着致力于在运营网络环境中管理设施的全职工程师的承诺，将促进我们对这些方法的理解，并为我们更广泛的校园网络规划和部署工作提供前瞻性信息。 华盛顿大学将与华盛顿大学的研究界以及更广泛的研究和教育网络社区共享这些试点部署的数据，包括在NSF为此目的主办的一次会议上。

This project will deploy a pilot OpenFlow network (a form of Software-Defined Network [SDN]) for the Computer Science and the Physics and Astronomy buildings at the University of Washington. This capability will enable high-performance layer-2 connections to the desktop for both GENI experimentation and for high performance computing applications. The project will provide an opportunity to develop an operational model for the innovations promised by OpenFlow and advance the understanding of how to integrate OpenFlow into campus networking infrastructures. Travel budget is included for sharing and presentations of findings to the broad GENI community and non-technical user communities.Although OpenFlow is currently being widely discussed and are key elements in the GENI architecture, there is little operational or campus-level architectural experience with using it. In particular, the integration of OpenFlow and other SDN technology into science DMZs and other issues of campus security and policy are not fully understood in operational contexts. The project outcomes include reporting of results and lessons to other campus network operators and to SDN researchers and industry.Broader Impact:OpenFlow and other software defined networking approaches have the potential to transform highcapacity data transfer and networking in our emerging world of data-driven discovery. The UW's OpenFlow proposed deployment, along with the commitment of a full-time engineer devoted to managing the facility in an operational network setting, will advance our understanding of these methodologies and serve to inform our broader campus-wide network planning and deployment efforts prospectively. The University of Washington will share data from these pilot deployments with both the University of Washington research community and more broadly with the Research and Education Network Community, including at one NSF sponsored conference for such purposes.