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

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.

随着大数据、深度学习、数据挖掘、云服务和网络安全领域的最新进展，以及沿着许多新颖的消费者和科学设备，计算的技术格局正在以惊人的速度发生变化。研究型大学，特别是IT支持，在这种情况下面临着敏捷的挑战，因为他们必须跟上研究和用户社区的需求。为了支持这些技术的研究人员，该项目旨在支持两个关键的网络为中心的要求：将用户拥有的设备在网络的边缘，并通过网络在数据收集节点和数据处理节点之间移动批量数据。该项目将设计，实施，测试和使用一个新的研究测试平台，罗格斯大学下一代边缘测试平台（RU-NET）。RU-NET是一个校园范围的平台，旨在简化新兴边缘技术的部署，同时保持校园网络的稳定性。RU-NET将允许将实验室中用户拥有的设备与罗格斯大学的三个校园网络集成到一个统一的100 Gbit/s网络中，该网络使用可编程交换机和主机设备进行管理。RU-NET的设计是多层次的，包括研究人员的应用程序，RU-NET拥有的物理资源，以及将应用程序映射到资源并隔离不同研究应用程序的协调器软件。RU-NET将作为一种催化剂，将罗格斯大学的研究人员定位在科学发现的最前沿，并改善计算和网络基础设施，使整个大学社区受益。该项目计划开发课程材料，以教育本科生和研究生关于新的网络为中心的技术，培训罗格斯大学的学生多样化的学生。该项目还计划与正在规划类似分布式计算环境的学术机构和企业社区分享最佳实践，该项目有可能成为未来类似工作的模板。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Identifying Research Collaboration Challenges for the Development of a Federated Infrastructure Response

确定联合基础设施响应开发的研究合作挑战

• DOI: 10.1145/3437359.3465594
• 发表时间: 2021
• 期刊: Practice and Experience in Advanced Research Computing
• 作者: Dougherty, Maureen;Zink, Michael;von Oehsen, James Barr
• 通讯作者: von Oehsen, James Barr

Load balancers need in-band feedback control

• DOI: 10.1145/3563766.3564094
• 发表时间: 2022-11
• 期刊: Proceedings of the 21st ACM Workshop on Hot Topics in Networks
• 作者: Bhavana Vannarth Shobhana;S. Narayana;B. Nath

The ERN Cryo-EM Federated Instrument Pilot Project: Phase 1

ERN Cryo-EM 联合仪器试点项目：第一阶段

• DOI: 10.1109/xloop56614.2022.00009
• 发表时间: 2022
• 期刊: IEEE/ACM Annual Workshop on Large-scale Experiment-in-the-Loop Computing (XLOOP
• 作者: Dougherty, Maureen;Kaelber, Jason;Oehsen, James Barr;Ludwig, Morgan;Dalenberg, Kenneth;Schafer, Jeremy;Zink, Michael;Wilson, Boyd;Goodhue, John;Hey, Wolf
• 通讯作者: Hey, Wolf

The ERN Cryo-EM Federated Instrument Pilot Project

ERN Cryo-EM 联合仪器试点项目

• DOI: 10.1145/3491418.3535141
• 发表时间: 2022
• 期刊: PEARC '22: Practice and Experience in Advanced Research Computing
• 作者: Dougherty, Maureen;Zink, Michael;von Oehsen, Barr;Dalenberg, Kenneth;Desinghu, Bala;Kaelber, Jason;Schafer, Jeremy;Goodhue, John;Hey, Wolf;Ludgwig, Morgan
• 通讯作者: Ludgwig, Morgan