Collaborative Research: CC-NIE Integration: Developing Applications with Networking Capabilities via End-to-End SDN (DANCES)
Collaborative Research: CC-NIE Integration: Developing Applications with Networking Capabilities via End-to-End SDN (DANCES)
批准号:
1340953
负责人:
Anton Nekrutenko
金额:
$12.5万
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
项目状态:
已结题
起止时间:
2014-01-01 至 2016-12-31
中文摘要
由网络工程师、应用程序开发人员和研究科学家组成的Dance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。Dance通过在端到端网络基础设施中集成高性能计算作业调度、SDN提供的网络控制功能以及数据移动应用程序来实现这一优化。这种集成提供了对用于管理网络带宽的控制机制的访问。SDN实现的对网络资源的控制增强了应用程序的稳定性、可预测性和性能,从而提高了整体网络利用率。Dance项目的动机是将高级网络服务的优势应用于解决城市和校园网络拥堵的问题。Dance使用Internet2上的XSEDENet和安装在协作地点的启用OpenFlow的网络交换机作为端到端硬件和软件底层。通过参与机构提供的教育计划以及现有的社区研讨会、会议和会议传播通过舞蹈获得的知识。通过舞蹈获得的见解和经验将促进更好地了解跨广域和校园网络基础设施支持端到端SDN的技术要求。由此产生的支持SDN的应用程序将使终端用户能够轻松访问高带宽连接的请求和配置,并提高网络性能和支持各种应用程序的可预测性。
英文摘要
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.
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