One of the challenges of using fog computing in IoT systems is the efficient placement of resources in IoT applications. This paper presents a resource placement method for fog-based IoT systems to reduce their latency and energy consumption. Given the limited processing power of fog nodes, only a limited number of modules can be run on these nodes. In fog-cloud systems, placing the modules on fog nodes instead of the cloud layer can be expected to reduce system latency. Therefore, to achieve enhanced latency and energy consumption, this paper introduces a multi-zone fog layer architecture where each zone is a multi-fog. The core idea of ​​the proposal is to use the idle processing capacity of fog nodes in each zone through the maximal placement of modules on these nodes. The paper also presents an algorithm called MFP for carrying out this placement. To evaluate the proposed algorithm, it was simulated in iFogSim for two scenarios with different topologies. The simulation results showed that the proposed scheme offers 16.81% lower latency and 17.75% lower energy consumption than the existing schemes.

在物联网系统中使用雾计算的挑战之一是如何在物联网应用中高效地放置资源。本文提出了一种基于雾的物联网系统的资源放置方法，以减少其延迟和能耗。鉴于雾节点的处理能力有限，这些节点上只能运行有限数量的模块。在雾云系统中，可以将模块放置在雾节点而不是云层上，以减少系统延迟。因此，为了实现更高的延迟和能耗，本文介绍了一种多区域雾层架构，其中每个区域都是一个多雾。该提案的核心思想是通过最大程度地在这些节点上放置模块来使用每个区域中雾节点的空闲处理能力。本文还提出了一种称为MFP的算法来执行此放置。为了评估提出的算法，在iFogSim中针对两种具有不同拓扑的场景进行了仿真。仿真结果表明，与现有方案相比，该方案的等待时间缩短了16.81％，能耗降低了17.75％。