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

CC*DNI 集成：通过内布拉斯加州的开放流和内容中心网络创新网络网络基础设施

• 批准号: 1541442
• 负责人: Byravamurthy Ramamurthy
• 金额: $ 57.21万
• 依托单位: University of Nebraska-Lincoln
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541442&HistoricalAwards=false
• 关键词: CC; DNI; Integration; Innovating; Network

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.

研究和教育网络（R＆E）网络正在进行重大转变。在校园一级，实施必须平衡绩效，安全性以及处理创新网络应用研究的灵活性。没有足够的绩效，核心申请利益相关者将迅速离开；没有安全性，大学网络将不允许整合新方法。没有创新，未来的领导才会受到威胁。内布拉斯加州林肯大学（UNL）校园的荷兰计算中心（HCC）已确定有必要提高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部署生产软件定义的网络（SDN）来解决此问题。在三个重点领域，该部署通过SDN增强了UNL的HCC网络。首先，它通过使应用程序与SDN控制器通信以为大型转移设置路径和路径属性来增强GridFTP转移的资源管理。通过启用应用程序和网络控制器之间的通信，我们允许以应用程序驱动的带宽提供。其次，它将安全性与基于SDN的动态路由集成在一起，以便仅通过它们路由需要特定的中间箱的流。这通过减少中间箱的负载并对这些设备提出的安全警报产生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提供网络内存和基于内容的路由。 UNL利用这些技术有效地将实验数据传递到科学应用程序，而无需总是访问存储数据的服务器。

项目成果

Multipath Forwarding Strategies and SDN Control for Named Data Networking

• DOI: 10.1109/ants.2018.8710068
• 发表时间: 2018-12
• 期刊: 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
• 作者: M. Alhowaidi;D. Anantha;B. Ramamurthy;B. Bockelman;D. Swanson

APRIL: An Application-Aware, Predictive and Intelligent Load Balancing Solution for Data-Intensive Science

APRIL：适用于数据密集型科学的应用感知、预测和智能负载平衡解决方案

• DOI: 10.1109/infocom.2019.8737537
• 发表时间: 2019
• 期刊: IEEE INFOCOM 2019 - IEEE Conference on Computer Communications
• 作者: Nadig, Deepak;Ramamurthy, Byrav;Bockelman, Brian;Swanson, David
• 通讯作者: Swanson, David

Large Data Transfer Predictability and Forecasting using Application-Aware SDN

使用应用程序感知 SDN 实现大数据传输可预测性和预测

• DOI: 10.1109/ants.2018.8710165
• 发表时间: 2018
• 期刊: 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS
• 作者: Nadig, Deepak;Ramamurthy, Byrav;Bockelman, Brian;Swanson, David
• 通讯作者: Swanson, David