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首页> 外文期刊>IEEE transactions on industrial informatics >Modeling and Analysis of a Shared Edge Caching System for Connected Cars and Industrial IoT-Based Applications
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Modeling and Analysis of a Shared Edge Caching System for Connected Cars and Industrial IoT-Based Applications

机译：连通汽车和工业物联网应用共享边缘缓存系统的建模与分析

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摘要

The next revolution of industrial applications, known as smart industry or Industry 4.0, will rely on Internet of Things (IoT) to automate the monitoring, inspection, and control of industrial equipment and processes. In Industry 4.0, efficient content delivery is one of the fundamental challenges to be addressed. Nowadays, the promising solution for content delivery in smart industrial applications is the use of hierarchical caching systems at the network edge (5G small cells). This approach reduces the delay for content delivery and helps improve the performance of smart industrial applications. However, the caching management is a challenging and complex task, especially in those scenarios of shared storage resources on edge devices to support multiple concurrent applications (e.g., industrial, mobile users, and connected cars applications). In this article, we study the performance of a shared edge caching system for content delivery in smart industry and connected cars applications. To do so, we propose a mathematical framework to model the performance of a hierarchical shared edge caching system. The proposed mathematical framework considers the distinct content catalogs of the different applications (e.g., industrial and connected cars applications) and content request characteristics from industrial IoT devices and vehicles. Numerical results show that the performance of the shared edge caching system is sensitive to vehicular mobility (i.e., vehicular speed).
机译：下次革命的工业应用，称为智能行业或行业4.0，将依靠物联网（物联网）自动化工业设备和流程的监控，检查和控制。在工业4.0中，高效的内容交付是要解决的根本挑战之一。如今，智能工业应用中的内容交付的有希望的解决方案是在网络边缘（5G小单元）处使用分层缓存系统。这种方法可以减少内容交付的延迟，有助于提高智能工业应用的性能。然而，缓存管理是一个具有挑战性和复杂的任务，特别是在边缘设备上的共享存储资源的那些场景中，以支持多个并发应用程序（例如，工业，移动用户和连接的汽车应用）。在本文中，我们研究了智能行业和连通汽车应用中内容交付的共享边缘缓存系统的性能。为此，我们提出了一种数学框架来模拟分层共享边缘缓存系统的性能。所提出的数学框架考虑了不同应用程序的不同内容目录（例如，工业和连接的汽车应用）和来自工业物联网设备和车辆的内容请求特征。数值结果表明，共用边缘缓存系统的性能对车辆移动性敏感（即，车辆速度）。

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