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.

网络工程师，应用程序开发人员和研究科学家的舞蹈项目团队正在实施软件定义的网络（SDN）启用的端到端环境，以优化对科学数据传输的支持。 舞蹈通过整合高性能计算作业计划，SDN提供的网络控制功能以及在端到端网络基础架构中提供的数据移动应用程序来实现这一优化。 该集成提供了控制网络带宽的控制机制。 SDN支持网络资源的控制可增强应用程序稳定性，可预测性和性能，从而改善整体网络利用率。舞蹈项目的动机是将高级网络服务的优势应用于拥挤的大都市和校园网络的问题。 Dances将跨Internet2的Xsedenet与在协作站点上安装的开放式网络交换机一起使用，作为端到端硬件和软件基质。通过舞蹈获得的知识通过参与机构和现有的社区工作室，会议以及会议以及会议进行的教育计划传播。 通过舞蹈获得的见解和经验将更好地了解支持跨区域和校园网络基础设施的端到端SDN的技术要求。 最终的启用SDN的应用程序将使最终用户易于访问高带宽连接的请求和配置，并提高网络性能和可预测性，以支持广泛的应用程序。