The Role of Fog Device Density in IoT-Fog-Cloud Systems

Asma Almulifi , Heba Kurdi
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引用次数: 0

Abstract

Fog computing has emerged as an essential technology for enabling real-time, low-latency responses in cloud-based applications within Internet of Things (IoT) systems. This study explored the impact of the number of fog devices (NFDs) on the performance of IoT-fog-cloud systems. Through comparative analysis, two scheduling algorithms—First Come First Serve (FCFS) and Priority—were evaluated across different scales of system deployment. The results indicated that the FCFS algorithm was optimal for systems with fewer NFDs, whereas the Priority algorithm proved advantageous in larger settings. These findings not only establish guidelines for selecting appropriate scheduling strategies based on the scale of fog device deployment but also provide strategic insights for businesses on the optimal distribution of computational resources. This research aids companies in deciding whether to centralize resources in fewer branches with more employees or to decentralize into more branches with fewer employees, thereby optimizing operational efficiency and responsiveness.

物联网-雾-云系统中雾设备密度的作用
雾计算已成为物联网(IoT)系统中基于云的应用实现实时、低延迟响应的重要技术。本研究探讨了雾设备(NFD)数量对物联网-雾-云系统性能的影响。通过比较分析,在不同规模的系统部署中评估了两种调度算法--先来先服务(FCFS)和优先级。结果表明,FCFS 算法是 NFD 数量较少的系统的最佳算法,而优先级算法则在较大的环境中具有优势。这些研究结果不仅为根据雾设备部署规模选择合适的调度策略提供了指导,还为企业优化计算资源分配提供了战略启示。这项研究有助于企业决定是将资源集中到员工较多的较少分支机构,还是分散到员工较少的较多分支机构,从而优化运营效率和响应能力。
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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