CC* Networking Infrastructure: YinzerNet: A Multi-Site Data and AI Driven Research Network

CC* 网络基础设施：YinzerNet：多站点数据和人工智能驱动的研究网络

• 批准号: 2346707
• 负责人: James von Oehsen
• 金额: $ 64.76万
• 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: 2024
• 资助国家: 美国
• 起止时间: 2024-04-01 至 2026-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2346707&HistoricalAwards=false
• 关键词: CC; Networking; Infrastructure; YinzerNet; Multi

YinzerNet supports groundbreaking collaborative scientific research and education initiatives between the University of Pittsburgh, Carnegie Mellon University, and the Pittsburgh Supercomputing Center. This network infrastructure eliminates bottlenecks in data movement and sharing and research computing, enhancing the productivity of interdisciplinary collaborations. With its innovative design, YinzerNet integrates modified Data Transfer Nodes at the edge (cloudlets), equipped with Graphics Processing Units (GPUs), Data Processing Units (DPUs), and a basic OpenStack instance, facilitating the deployment of containerized workflows. The network employs Software for Open Networking in the Cloud (SONiC), an open-source network OS overlay, to connect distributed sites, fostering experimental and enterprise network solutions, and adds the ability to expand and connect with other academic institutions in the future.By advancing network capabilities and supporting cloudlet-based distributed research platforms, YinzerNet enables the exploration of new federated Artificial Intelligence (AI) models and network monitoring tools, crucial as federated services emerge as a standard. It serves a wide range of research domains, including satellite communications, security, life sciences, robotics, high-energy physics, astronomy, and neuroscience, demonstrating immediate impacts on these fields.YinzerNet not only represents a significant step forward in networking infrastructure but also acts as a catalyst for future technological advancements and connections to the national cyberinfrastructure ecosystem. Its design and implementation underscore the importance of collaborative platforms in accelerating scientific discovery and innovation, showcasing the potential for significant societal benefits through enhanced research capabilities.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.

YinzerNet 支持匹兹堡大学、卡内基梅隆大学和匹兹堡超级计算中心之间的突破性合作科学研究和教育计划。该网络基础设施消除了数据移动、共享和研究计算方面的瓶颈，提高了跨学科合作的生产力。凭借其创新设计，YinzerNet 在边缘（云）集成了经过修改的数据传输节点，配备了图形处理单元（GPU）、数据处理单元（DPU）和基本的 OpenStack 实例，促进了容器化工作流程的部署。该网络采用云中开放网络软件（SONiC）（一种开源网络操作系统覆盖）来连接分布式站点，培育实验和企业网络解决方案，并增加未来扩展和与其他学术机构连接的能力。通过提升网络功能和支持基于 Cloudlet 的分布式研究平台，YinzerNet 能够探索新的联合人工智能 (AI) 模型和网络监控工具，这对于联合服务成为标准至关重要。它服务于广泛的研究领域，包括卫星通信、安全、生命科学、机器人、高能物理、天文学和神经科学，展示了对这些领域的直接影响。YinzerNet不仅代表了网络基础设施方面的重大进步，而且充当未来技术进步和与国家网络基础设施生态系统连接的催化剂。其设计和实施强调了协作平台在加速科学发现和创新方面的重要性，展示了通过增强研究能力带来重大社会效益的潜力。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和能力进行评估，被认为值得支持。更广泛的影响审查标准。