CC*DNI Integration: Innovating Network Cyberinfrastructure through Openflow and Content Centric Networking in Nebraska

研究和教育网络（R E）网络正在经历重大变革。在园区级别，实施必须平衡性能、安全性和灵活性，以处理创新的网络应用研究。如果没有足够的性能，核心应用程序利益相关者将很快离开;没有安全性，大学网络将无法整合新方法;没有创新，未来的领导地位岌岌可危。内布拉斯加大学林肯分校（UNL）的荷兰计算中心（HCC）已经确定需要提高UNL网络的灵活性，以支持科学用户和网络研究人员; UNL通过使用OpenFlow部署生产软件定义网络（SDN）来解决这一问题。首先，它通过让应用程序与SDN控制器通信来为大型传输设置路径和路径属性，从而增强了GridFTP传输的资源管理。通过启用应用程序和网络控制器之间的通信，我们允许应用程序驱动的带宽配置。其次，它将安全性与基于SDN的动态路由集成在一起，这样只有需要特定中间盒的数据流才能通过它们进行路由。这通过减少中间设备上的负载并实现对这些设备发出的安全警报的自动反应来提高网络的可扩展性。第三，它使用内容为中心的网络（CCN）提供访问紧凑的μ子螺线管（CMS）的实验数据。CCN提供网内缓存和基于内容的路由。UNL利用这些技术有效地将实验数据交付给科学应用程序，而无需始终访问存储数据的服务器。

Research and Education networks (R&E) networks are undergoing a major transformation. At the campus level, implementations must balance performance, security, and the flexibility to handle innovative network applications research. Without adequate performance, the core application stakeholders would quickly leave; without security, the university networks would not allow integration of new approaches; without innovations, future leadership is at stake. The Holland Computing Center (HCC) at the University of Nebraska-Lincoln (UNL) campus has identified the need to increase the flexibility of UNL's network to support scientific users and network researchers; UNL addresses this by deploying a production software-defined network (SDN) using OpenFlow.This deployment enhances UNL's HCC network through SDN, in three focused areas. First, it enhances resource management for GridFTP transfers by having the applications communicate with an SDN controller to set up paths and path properties for large transfers. By enabling communication between the applications and the network controller, we allow for application-driven bandwidth provisioning. Second, it integrates security with SDN-based dynamic routing so that only flows that require specific middleboxes be routed through them. This increases the scalability of the network by reducing the load on middleboxes and enabling automated reaction to security alerts raised by these devices. Third, it uses Content-Centric Networking (CCN) to provide access to the Compact Muon Solenoid (CMS) experiment data. CCN provides in-network caching and content-based routing. UNL leverages these techniques to efficiently deliver experiment data to scientific applications without always requiring access to the server where the data is stored.