边缘数字孪生的灵活模块化架构:实现与评估

IF 3.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Internet of Things Pub Date : 2022-12-06 DOI:10.1145/3573206
Marco Picone, M. Mamei, F. Zambonelli
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引用次数: 2

摘要

基于数字孪生(dt)(物理对象和系统的虚拟副本)的物联网系统可以非常有效地实现数据驱动的服务,并促进更好的控制和决策,特别是通过利用云计算和边缘计算有效合作的分布式方法。在这种背景下,部署在边缘的数字孪生代表了设计新一波分布式网络物理应用程序的新战略要素。现有的方法通常集中在碎片化和特定于领域的整体解决方案上,并且主要与模型驱动的、模拟的或描述性的愿景相关联。通过一组通用的和定义良好的属性和功能来扩展dt角色以支持最后一英里的数字化和互操作性的想法仍然没有得到充分的研究。在本文中,我们提出了新的边缘数字孪生(EDT)体系结构模型及其实现,实现了物理设备的轻量级复制,提供了一个有效的数字抽象层,以支持事物和服务的自治和标准协作。我们根据最新的技术状态定义对核心功能进行建模,展示软件架构和原型实现。广泛的实验分析显示了在多种物联网应用环境中获得的性能,并将其与最先进的方法进行了比较。
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A Flexible and Modular Architecture for Edge Digital Twin: Implementation and Evaluation
IoT systems based on Digital Twins (DTs) — virtual copies of physical objects and systems — can be very effective to enable data-driven services and promote better control and decisions, in particular by exploiting distributed approaches where cloud and edge computing cooperate effectively. In this context, digital twins deployed on the edge represents a new strategic element to design a new wave of distributed cyber-physical applications. Existing approaches are generally focused on fragmented and domain-specific monolithic solutions and are mainly associated to model-driven, simulative or descriptive visions. The idea of extending the DTs role to support last-mile digitalization and interoperability through a set of general purpose and well-defined properties and capabilities is still underinvestigated. In this paper, we present the novel Edge Digital Twins (EDT) architectural model and its implementation, enabling the lightweight replication of physical devices providing an efficient digital abstraction layer to support the autonomous and standard collaboration of things and services. We model the core capabilities with respect to the recent definition of the state of the art, present the software architecture and a prototype implementation. Extensive experimental analysis shows the obtained performance in multiple IoT application contexts and compares them with that of state-of-the-art approaches.
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来源期刊
CiteScore
5.20
自引率
3.70%
发文量
0
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