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

研究和教育网络(R&amp；E)网络正在经历一场重大变革。在园区层面，实施必须在性能、安全性和处理创新网络应用研究的灵活性之间取得平衡。如果没有足够的性能，核心应用利益相关者将很快离开；如果没有安全，大学网络将不允许集成新方法；如果没有创新，未来的领导地位将岌岌可危。位于内布拉斯加州-林肯大学(UNL)校区的荷兰计算中心(HCC)发现，需要增加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。这一部署通过SDN在三个重点领域增强了UNL的PLC网络。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调配。其次，它将安全性与基于SDN的动态路由集成在一起，因此只有需要特定中间盒的流才能通过它们进行路由。这通过减少中间盒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，它使用以内容为中心的网络(CCN)来提供对紧凑型Muon螺线管(CMS)实验数据的访问。CCN提供网内缓存和基于内容的路由。UNL利用这些技术向科学应用程序高效地提供实验数据，而不总是需要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.