可靠的边缘网络物理系统演示器

S. Nagy, Richárd Szabó, Máté Levente Vajda, András Vörös
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引用次数: 2

摘要

可靠的网络物理系统(CPS)越来越多地应用于城市交通、智慧城市、工业物联网和电信等各个应用领域。除了功能需求,可靠的CPS系统还必须满足一些额外的功能需求,如可靠性、可用性、容错性和性能。由于广泛使用分布式服务、冗余架构和先进的安全机制,现代CPS系统的复杂性大大增加。此外,一些新技术已经出现在边缘,如嵌入式gpu、人工智能加速和虚拟化工具,它们增强了额外的功能属性,如可靠的CPS系统的延迟和性能。由于复杂性和尖端技术的增加,评估现代CPS系统的额外功能需求变得困难。因此,一些新的分析技术也被开发出来。我们为智慧城市和城市交通领域可靠的基于边缘的CPS系统开发了一个开源演示器。通过该演示器,研究人员可以比较和评估不同的技术、安全机制和分析技术。该演示由几种新兴技术组成,如硬件加速器、负载平衡机制、容器化和容器部署工具。演示器的架构是根据边缘计算范式和模型驱动工程方法开发的。演示器包含分布式冗余和容错服务。我们还开发了一个硬件在环(HIL)测试环境来模拟各种环境场景并评估额外的功能特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demonstrator for dependable edge-based cyber-physical systems
Dependable cyber-physical systems (CPS) are increasingly used in various application fields, such as urban mobility, smart city, industrial IoT and telecommunication. Beside functional requirements, dependable CPS systems have to meet several extra-functional requirements such as reliability, availability, fault-tolerance and performance. The complexity of modern CPS systems significantly increased since the extensive use of distributed services, redundant architectures and advanced safety mechanisms. In addition, several new technologies have emerged in the edge, such as embedded GPU-s, AI acceleration and virtualisation tools, which enhance the extra-functional properties, such as latency and performance of dependable CPS systems. Because of the increased complexity and the cutting edge technologies, evaluating the extra-functional requirements becomes difficult for modern CPS systems. Consequently, several new analysis techniques have also been developed. We developed an open-source demonstrator for dependable edge-based CPS systems in the field of smart city and urban mobility. With the demonstrator, the researchers can compare and evaluate different technologies, safety mechanisms and analysis techniques. The demonstrator consists of several emerging technologies such as hardware accelerators, load-balance mechanisms, containerisation and container deployment tools. The architecture of the demonstrator was developed following the edge computing paradigm and model-driven engineering approach. The demonstrator contains distributed redundant and fault-tolerant services. We also developed a hardware-in-the-loop (HIL) test environment to simulate various environmental scenarios and evaluate extra-functional properties.
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