Markus Andras, Biro Mate, Kecskemeti Gabor, Kertesz Attila
Software Engineering Department, University of Szeged, Szeged, Hungary.
Institute of Information Technology, University of Miskolc, Miskolc, Hungary.
PeerJ Comput Sci. 2021 Jul 30;7:e651. doi: 10.7717/peerj-cs.651. eCollection 2021.
The inevitable evolution of information technology has led to the creation of IoT-Fog-Cloud systems, which combine the Internet of Things (IoT), Cloud Computing and Fog Computing. IoT systems are composed of possibly up to billions of smart devices, sensors and actuators connected through the Internet, and these components continuously generate large amounts of data. Cloud and fog services assist the data processing and storage needs of IoT devices. The behaviour of these devices can change dynamically (. properties of data generation or device states). We refer to systems allowing behavioural changes in physical position (. geolocation), as the Internet of Mobile Things (IoMT). The investigation and detailed analysis of such complex systems can be fostered by simulation solutions. The currently available, related simulation tools are lacking a generic actuator model including mobility management. In this paper, we present an extension of the DISSECT-CF-Fog simulator to support the analysis of arbitrary actuator events and mobility capabilities of IoT devices in IoT-Fog-Cloud systems. The main contributions of our work are: (i) a generic actuator model and its implementation in DISSECT-CF-Fog, and (ii) the evaluation of its use through logistics and healthcare scenarios. Our results show that we can successfully model IoMT systems and behavioural changes of actuators in IoT-Fog-Cloud systems in general, and analyse their management issues in terms of usage cost and execution time.
信息技术的必然发展催生了物联网 - 雾计算 - 云计算系统，该系统融合了物联网（IoT）、云计算和雾计算。物联网系统可能由多达数十亿个通过互联网连接的智能设备、传感器和执行器组成，这些组件持续生成大量数据。云和雾服务满足物联网设备的数据处理和存储需求。这些设备的行为可以动态变化（例如数据生成属性或设备状态）。我们将允许物理位置发生行为变化（如地理定位）的系统称为移动物联网（IoMT）。仿真解决方案有助于对这类复杂系统进行研究和详细分析。当前可用的相关仿真工具缺乏包含移动性管理的通用执行器模型。在本文中，我们提出了对DISSECT - CF - Fog模拟器的扩展，以支持对物联网 - 雾计算 - 云计算系统中物联网设备的任意执行器事件和移动能力进行分析。我们工作的主要贡献在于：（i）一个通用执行器模型及其在DISSECT - CF - Fog中的实现，以及（ii）通过物流和医疗场景对其使用进行评估。我们的结果表明，我们能够成功地对移动物联网系统以及物联网 - 雾计算 - 云计算系统中执行器的行为变化进行建模，并从使用成本和执行时间方面分析其管理问题。
