CC* Integration: Rutgers University Next-Generation Edge Testbed (RU-NET)

CC* 集成：罗格斯大学下一代边缘测试床 (RU-NET)

• 批准号: 1925482
• 负责人: James von Oehsen
• 金额: $ 99.9万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1925482&HistoricalAwards=false
• 关键词: CC; Integration; Rutgers; University; Next; CC; Integration; Rutgers; University; Next

The technological landscape of computing is changing at a phenomenal rate with recent advances in big data, deep learning, data mining, cloud services, and cybersecurity, along with many novel consumer and scientific devices. Research universities, especially IT support, are challenged to be agile in this landscape, as they must keep pace with the needs of the research and user community. To bolster researchers working on these technologies, this project seeks to support two key network-centric requirements: incorporating user-owned devices at the edge of the network and moving bulk data between data collection nodes and data processing nodes over the network.This project will design, implement, test, and utilize a novel research testbed, the Rutgers University Next-Generation Edge Testbed (RU-NET). RU-NET is a campus-wide platform designed to simplify the deployment of new and emerging edge technologies, while preserving the stability of the campus network. RU-NET will allow integrating user-owned devices in laboratories at the edge of the network with Rutgers's three campus networks into a unified 100 Gbit/s network managed using programmable switches and host devices. The RU-NET design is multi-layered, constituting researchers' applications, RU-NET-owned physical resources, and orchestrator software mapping applications to resources and isolating different research applications.RU-NET will serve as a catalyst to position Rutgers University researchers at the forefront of scientific discovery and to improve compute and network infrastructure that benefits the University community as a whole. The project plans to develop course material to educate undergraduate and graduate students about novel network-centric technologies, training students from Rutgers's diverse student body. The project also plans to share best practices with academic institutions and enterprise communities that are planning similar distributed computing environments, with the possibility of this project serving as a template for similar future efforts.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

计算的技术格局正在以惊人的速度变化，大数据，深度学习，数据挖掘，云服务和网络安全以及许多新颖的消费者和科学设备的最新进展。研究大学，尤其是IT支持，在这种景观中敏捷面临挑战，因为他们必须跟上研究和用户社区的需求。 To bolster researchers working on these technologies, this project seeks to support two key network-centric requirements: incorporating user-owned devices at the edge of the network and moving bulk data between data collection nodes and data processing nodes over the network.This project will design, implement, test, and utilize a novel research testbed, the Rutgers University Next-Generation Edge Testbed (RU-NET). Ru-Net是一个校园范围的平台，旨在简化新的和新兴的边缘技术的部署，同时保持校园网络的稳定性。 RU-NET将允许将网络边缘的实验室中的用户拥有的设备与Rutgers的三个校园网络集成到使用可编程交换机和主机设备管理的统一的100 GBIT/S网络中。 RU-NET设计是多层设计的，构成了研究人员的应用，RU-NET拥有的物理资源，并且乐队软件将应用程序映射到资源和隔离不同的研究应用程序。RU-NET将作为Ru-NET，以使Rutgers University的研究人员定位科学发现的最前沿，并在科学发现和网络基础架构中取得相应和网络基础结构，从而使大学社区受益。该项目计划开发课程材料，以教育本科生和研究生有关新颖的以网络为中心的技术，培训罗格斯多元化学生团体的学生。该项目还计划与正在计划类似的分布式计算环境的学术机构和企业社区共享最佳实践，并有可能将该项目作为类似未来努力的模板。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估来通过评估来获得支持的。