Collaborative Research: NeTS: JUNO3: Towards an Internet of Federated Digital Twins (IoFDT) for Society 5.0: Fundamentals and Experimentation

数字孪生（DT）的概念，它能够创建物理系统的可编程数字表示（例如，智能汽车）将彻底改变未来的行业。DT是未来智能社会愿景的核心，日本将其称为社会5.0，其中网络和物理空间之间的高度整合被利用，以促进从智能交通到机器人等行业的经济和社会进步。为了实现新的DT驱动的社会5.0的愿景，该项目设想了一个新的概念，即联合数字孪生互联网（IoFDT），将代表不同社会5.0服务的异构和物理分离的DT整体集成在一个系统中。因此，该研究的目标是通过美国和日本研究人员团队之间的密切合作，在无线网络，DT和人工智能（AI）方面具有互补的专业知识，为IoFDT奠定科学基础。这些基础包括一个新的基本框架，用于在存在异构应用程序的情况下有效设计、分析和优化IoFDT系统。拟议的研究将产生切实的社会影响，因为它有助于实现多样化的社会5.0服务（从运输到工厂自动化），从而有可能提高生活质量。这项研究与美日合作的以DT为中心的教育，推广和传播计划相结合，这将有助于扩大研究的影响。为了设计拟议的框架，这个美日联合项目将融合无线通信、机器学习和可编程网络的想法，以贡献几项创新：1）跨层无线和计算框架，其引入用于IoFDT系统的动态网络切片的新方法，2）DT-1的有效方法以中心为中心的主动资源优化以及协作计算和学习技术，可以处理前所未有的网络动态3）基于持续学习的整体AI框架，可以忠实地从连续的数据流构建可编程DT，同时利用跨物理系统及其协调的双胞胎的复杂关系和模式，以及4）在可编程IoFDT平台中的实际实现，该平台提供了有意义的该奖项反映了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。

The concept of a digital twin (DT) that enables the creation of a programmable, digital representation of physical systems (e.g., smart vehicles) will revolutionize future industries. DTs lie at the heart of the vision of a future smart society, dubbed Society 5.0 by Japan, in which a high integration between cyber and physical spaces is exploited to bring forth economic and societal advancement across industries ranging from intelligent transportation to robotics. To realize this vision of a new DT-driven Society 5.0, this project envisions a novel concept of an Internet of Federated Digital Twins (IoFDT) that holistically integrates heterogeneous and physically separated DTs representing different Society 5.0 services within a single system. The goal of the research is therefore to create the scientific foundations of the IoFDT through a close collaboration between a team of US and Japanese researchers with complementary expertise in wireless networking, DTs, and artificial intelligence (AI). These foundations include a new, fundamental framework for allowing effective design, analysis, and optimization of an IoFDT system, in presence of heterogeneous applications. The proposed research will have a tangible societal impact since it contributes towards enabling diverse Society 5.0 services (from transportation to factory automation) thus potentially improving the quality of life. The research is coupled with collaborative US-Japan DT-centric education, outreach, and dissemination plans that will help broaden the impact of the research. To design the proposed framework, this joint US-Japan project will merge ideas from wireless communications, machine learning, and programmable networking to contribute several innovations: 1) A cross-layer wireless and computing framework that introduces new methods for dynamic network slicing for the IoFDT system, 2) Efficient methods for DT-centric proactive resource optimization as well as collaborative computing and learning techniques that can deal with unprecedented dynamics of the cyber (wireless) and physical systems of an IoFDT, 3) A holistic AI framework, based on continual learning, that can faithfully build programmable DTs from a continuous stream of data while exploiting complex relationships and patterns across the physical systems and their coordinated twins, and 4) Realistic implementation in a programmable IoFDT platform that provides a meaningful proof-of-concept of an IoFDT system deployment in Japan.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.