Collaborative Research: CC-NIE Integration: Developing Applications with Networking Capabilities via End-to-End SDN (DANCES)

合作研究：CC-NIE 集成：通过端到端 SDN 开发具有网络功能的应用程序 (DANCES)

• 批准号: 1341005
• 负责人: Kathy Benninger
• 金额: $ 65万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1341005&HistoricalAwards=false
• 关键词: Collaborative; Research; CC; NIE; Integration

The DANCES project team of network engineers, application developers, and research scientists is implementing a software-defined networking (SDN)-enabled end-to-end environment to optimize support for scientific data transfer. DANCES accomplishes this optimization by integrating high performance computing job scheduling, network control capabilities offered by SDN along with data movement applications in an end-to-end network infrastructure. This integration provides access to control mechanisms for managing network bandwidth. The control of network resources enabled by SDN enhances application stability, predictability and performance, thereby improving overall network utilization. Motivation for the DANCES project is to apply the advantages of advanced network services to the problem of congested metropolitan and campus networks. DANCES uses XSEDENet across Internet2 in conjunction with OpenFlow-enabled network switches installed at the collaborating sites as the end-to-end hardware and software substrate.Knowledge gained through DANCES is being disseminated through educational programs offered by the participating institutions and at existing community workshops, meetings, and conferences. The insights and experience obtained through DANCES will promote a better understanding of the technical requirements for supporting end-to-end SDN across wide area and campus cyberinfrastructure. The resulting SDN-enabled applications will make the request and configuration of high bandwidth connections easily accessible to end users and improve network performance and predictability for supporting a wide range of applications.

由网络工程师、应用程序开发人员和研究科学家组成的 DANCES 项目团队正在实施支持软件定义网络 (SDN) 的端到端环境，以优化对科学数据传输的支持。 DANCES 通过将高性能计算作业调度、SDN 提供的网络控制功能以及端到端网络基础设施中的数据移动应用程序集成来实现此优化。 这种集成提供了对管理网络带宽的控制机制的访问。 SDN对网络资源的控制增强了应用的稳定性、可预测性和性能，从而提高了整体网络利用率。 DANCES项目的动机是将先进网络服务的优势应用于解决城市和校园网络拥塞的问题。 DANCES 使用跨 Internet2 的 XSEDENet 以及安装在协作站点的支持 OpenFlow 的网络交换机作为端到端硬件和软件基础。通过 DANCES 获得的知识正在通过参与机构提供的教育计划和现有的社区研讨会进行传播、会议和会议。 通过 DANCES 获得的见解和经验将有助于更好地理解支持跨广域和校园网络基础设施的端到端 SDN 的技术要求。 由此产生的支持SDN的应用程序将使最终用户可以轻松地请求和配置高带宽连接，并提高网络性能和可预测性以支持广泛的应用程序。