CC-NIE Network Infrastructure: Using Software-Defined Networking to Facilitate Data Transfer

CC-NIE 网络基础设施：使用软件定义网络促进数据传输

• 批准号: 1246042
• 负责人: Tracy Futhey
• 金额: $ 49.66万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1246042&HistoricalAwards=false
• 关键词: CC; NIE; Network; Infrastructure; Using

Duke University is enhancing the capabilities of its data network to better support data-intensive research. By deploying a mix of next-generation software-defined networking (SDN) hardware along with enhanced high-speed conventional networking links, Duke creates on-demand high speed paths either through Duke's own network (connecting resources in different parts of campus) or directly from campus laboratories to external networks. In both cases these dynamically managed links can bypass layers of network management which, while sensible for routine traffic, add latency and limit speed for trusted high volume science flows.As Duke's core network is already fast and agile, the emphasis in this work is on improving network capability over the last few meters through local building switches and directly to the instrument or computer sourcing or sinking the data. Faster networking to the devices coupled with intelligent (SDN-mediated) routing at the building level of specific scientific data flows via "short-cut" paths through the core is expected to result in higher overall performance.The work is expected to demonstrate that judicious deployment of intelligent edge devices can provide data-intensive science researchers with all the advantages of a dedicated science network without expensive re-engineering of an already capable core network.

杜克大学正在增强其数据网络的能力，以更好地支持数据密集型研究。 通过部署下一代软件定义网络（SDN）硬件沿着增强型高速传统网络链路，杜克通过杜克自己的网络（连接校园不同部分的资源）或直接从校园实验室到外部网络创建按需高速路径。 在这两种情况下，这些动态管理的链路可以绕过网络管理层，而这些网络管理层虽然对常规流量敏感，但会增加延迟并限制可信赖的大容量科学流的速度。由于杜克的核心网络已经快速灵活，因此这项工作的重点是通过本地建筑交换机和直接到仪器或计算机的最后几米来提高网络能力。 更快地与设备联网，通过核心的“捷径”路径，在特定科学数据流的建筑层进行（SDN介导的）路由，预计将带来更高的整体性能。这项工作预计将证明，智能边缘设备的明智部署可以为数据密集型科学研究人员提供专用科学网络的所有优势，而无需昂贵的重新配置，一个已经有能力的核心网络的工程。