Fluid Computing & Digital Twins for intelligent interoperability in the IoT ecosystem

IF 6.2 2区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

Future Generation Computer Systems-The International Journal of Escience Pub Date : 2025-04-18 DOI:10.1016/j.future.2025.107855

Luca Bedogni, Marco Mamei, Marco Picone, Marcello Pietri, Franco Zambonelli

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引用次数: 0

Abstract

The integration of physical and digital systems is fundamental to enabling intelligent, adaptive, and scalable solutions in modern IoT environments. This paper explores Fluid Digital Twins (FDTs), a novel framework combining Fluid Computing (FC) principles with Digital Twin (DT) technology, to address challenges related to interoperability, dynamic functionality, and adaptability in IoT ecosystems. FC introduces a paradigm shift, enabling seamless data and computational task flow across heterogeneous environments, dynamically adjusting to resource availability and system needs. This paper focuses on embedding intelligence within FDTs to enhance interoperability and enable IoT applications to adapt to changes across both physical and digital domains. By integrating intelligent interoperability mechanisms, FDTs ensure smooth data alignment and compatibility across platforms, adapting to both physical and digital changes. The proposed framework has been implemented, prototyped, and evaluated in the Modena Automotive Smart Area (MASA), a smart city testbed. The evaluation demonstrates FDTs’ ability to enhance smart mobility, optimize transportation systems, and provide actionable insights, highlighting their transformative potential in dynamic, data-rich environments. The results emphasize the practical applicability of FDTs in addressing real-world challenges and advancing the capabilities of IoT-driven smart cities.

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流体计算和数字孪生在物联网生态系统中的智能互操作性

物理和数字系统的集成是在现代物联网环境中实现智能、自适应和可扩展解决方案的基础。本文探讨了流体数字孪生（fdt），这是一种将流体计算（FC）原理与数字孪生（DT）技术相结合的新框架，用于解决物联网生态系统中与互操作性、动态功能和适应性相关的挑战。FC引入了一种范式转换，支持跨异构环境的无缝数据和计算任务流，动态调整资源可用性和系统需求。本文的重点是在fdt中嵌入智能，以增强互操作性，并使物联网应用能够适应物理和数字领域的变化。通过集成智能互操作性机制，fdt可确保平滑的数据对齐和跨平台兼容性，以适应物理和数字变化。所提出的框架已经在摩德纳汽车智能区（MASA）——一个智能城市测试平台上实施、原型化和评估。该评估证明了fdt增强智能交通、优化交通系统和提供可操作见解的能力，突出了其在动态、数据丰富的环境中的变革潜力。研究结果强调了fdt在应对现实挑战和提升物联网驱动的智慧城市能力方面的实际适用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Future Generation Computer Systems-The International Journal of Escience 工程技术-计算机：理论方法

CiteScore

19.90

自引率

2.70%

发文量

376

审稿时长

10.6 months

期刊介绍： Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.