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An Open-Source Tool Modeling the ETSI-MEC Architecture in the Industry 4.0 Context

机译:在行业4.0上下文中建模ETSI-MEC架构的开源工具

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The transition from traditional to the smart factory, promoted by Industry 4.0, was driven by the introduction of the 5-th generation of mobile systems (5G) and its related key enabling technologies. In this context, Multi-access Edge Computing (MEC) emerged as a promising approach to offload computational tasks from resource-limited Industrial Internet of Thing devices to high-performance edge servers, which ensures higher service reliability and lower communication latency. While an Industry Specification Group of ETSI, namely ETSI-MEC, is sketching a MEC-oriented architecture and its related functionalities, there is an emerging scientific interest to evaluate novel solutions in a standard-compliant framework. To this end, this paper presents an extension of the network simulator ns-3, implementing entities (e.g., base stations, MEC Hosts, etc.), interactions, and functionalities (e.g., orchestration of MEC resources, distribution of tasks, etc.) standardized in the context of ETSI-MEC, while supporting multi-cell scenarios with mobile users and different user load generator models. The proposed tool has been used to evaluate the performance of a MEC-enabled industrial environment, where Unmanned Aircraft System, Automated Guided Vehicle, Industrial Internet of Things, and mixed reality devices jointly exploit computational capabilities deployed at the network edge. This study demonstrates that the proposed tool is a valid instrument to make safer and faster the assembly, maintenance, and testing phases in the upcoming smart factory realities.
机译:由行业4.0推广的传统到智能工厂的过渡由推出第5代移动系统(5G)及其相关的关键能够实现技术驱动。在这种情况下,多访问边缘计算(MEC)被揭示为从资源限制工业Internet internet设备到高性能边缘服务器卸载计算任务的有希望的方法,这确保了更高的服务可靠性和更低的通信等待时间。虽然ETSI的一个行业规范组,即ETSI-MEC,正在草图以MEC为导向的架构及其相关功能,但有一种新兴的科学兴趣评估符合标准框架的新型解决方案。为此,本文介绍了网络模拟器NS-3的扩展,实现实体(例如,基站,MEC主机等),交互和功能(例如,MEC资源的编排,任务分发等) )在ETSI-MEC的上下文中标准化,同时支持具有移动用户和不同用户负载发生器模型的多单元场景。该拟议的工具已被用于评估支持MEC的工业环境的性能,其中无人机系统,自动化导向车辆,事物,工业互联网和混合现实设备共同利用部署在网络边缘的计算能力。本研究表明,所提出的工具是一种有效的仪器,可以在即将到来的智能工厂现实中进行更安全,维护和测试阶段更安全,更快。

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