NetSE: Large: A theory of network architecture

该项目正在开发网络架构设计的理论基础，这对于理解高度进化、有组织和复杂的网络至关重要，该网络受技术、生物、生态和社会网络的启发并应用于技术、生物、生态和社会网络，并且与真实世界的数据具有强大的联系。体系结构涉及最通用、最高级和最持久的组织元素，通常是根据协议定义的？促进网络不同组件之间交互的规则。网络技术承诺在几乎所有技术、自然和社会系统中提供前所未有的性能、效率、可持续性和健壮性。强健而又脆弱？复杂系统(RYF)的特征无处不在，管理我们未来基础设施的复杂性/脆弱性螺旋式上升的理论框架至关重要。这个项目的智力价值既有理论上的，也有实践上的。架构理论对未来网络的设计至关重要，是可持续发展的核心。从生物、生态和技术方面对建筑进行比较，确定了各种共同特征的组织结构。这些观察结果将构成建筑数学理论的基础。该项目的更广泛影响是通过将网络架构设计应用到多个工程领域，并通过开发一种统一的方法来教授系统和复杂性。该项目涉及不同的研究人员，包括妇女和代表性不足的少数族裔。研究成果不仅通过特定领域的期刊传播，而且还通过具有广泛兴趣和影响力的文献(如《科学》、《自然》、《美国国家科学院院刊》)传播。

This project is developing a theoretical foundation for the design of network architecture, which is essential to understanding highly evolved, organized, and complex networks, inspired by and with application to technological, biological, ecological, and social networks, and with strong connections to real-world data. Architecture involves the most universal, high-level, and persistent elements of organization, usually defined in terms of protocols ? the rules that facilitate interaction between the diverse components of a network. Network technology promises to provide unprecedented levels of performance, efficiency, sustainability, and robustness in almost all technological, natural, and social systems. The ?robust yet fragile? (RYF) feature of complex systems is ubiquitous, and a theoretical framework to manage the complexity/fragility spirals of our future infrastructures is critical. The intellectual merit of this project is both theoretical and practical. A theory of architecture is crucial for the design of future networks and is at the heart of sustainability. Comparison of architectures from biology, ecology, and technology has identified a variety of common characteristic organizational structures. These observations will form the basis for a mathematical theory of architecture.The broader impact of this project is through the application of network architecture design to multiple areas of engineering and through the development of a unified approach to teaching systems and complexity. The project involves a diverse collection of researchers, including women and underrepresented minorities. Research results are disseminated not only through domain-specific journals, but also in the broad-interest high-impact literature (e.g. Science, Nature, PNAS).