EAGER: University of Washington (UW) Openflow Research

该项目将为华盛顿大学的计算机科学和物理与天文学大楼部署一个试点的OpenFlow网络(一种软件定义网络[SDN])。这一功能将为Geni实验和高性能计算应用程序实现到桌面的高性能第2层连接。该项目将提供一个机会，为OpenFlow承诺的创新开发一个运营模式，并促进对如何将OpenFlow整合到校园网络基础设施中的理解。尽管OpenFlow目前受到广泛讨论，是GENI架构中的关键元素，但使用它几乎没有操作或校园级别的架构经验。特别是，OpenFlow和其他SDN技术与科学非军事区的整合以及校园安全和政策的其他问题在业务环境中没有得到充分的理解。项目成果包括向其他园区网络运营商以及SDN研究人员和行业报告结果和教训。广泛影响：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转变高容量数据传输和网络。华盛顿大学的OpenFlow建议部署，以及一名全职工程师致力于在运营网络环境中管理设施的承诺，将促进我们对这些方法的理解，并为我们更广泛的校园范围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.