Due to the increasing demands of minimizing the delay for Internet of things (IoT) applications, cloud computing researchers are now moving towards the research in fog computing and edge computing area. Fog computing serves the purpose of bringing devices closer to the proximity of data centre by performing some specific possible tasks nearest to the vicinity of devices requiring the services and ultimately reduces the delay. Thus the complete infrastructure becomes combined fog–cloud in itself. Furthermore, Fog computing serves the need of running the IoT applications by placing the application modules on to the devices available in the said fog–cloud infrastructure. For this purpose, various module placement and scheduling approaches have been developed, but considering the heterogeneous and dynamic nature in the environment is the primary concern of our work. The purpose of this paper is to present the Heterogeneous Shortest Module First (HSMF) Algorithm for placement of the modules of an application in the heterogeneous fog–cloud computing environment. Using this algorithm, we place heterogeneous modules on to the different Fog devices available in the network. The proposed approach is then compared to the available cloud-only and edge-ward application module placement approach. The results obtained from our presented framework clearly state improvement in the total execution time and total network usage.

由于最大限度地减少物联网（IoT）应用程序延迟的要求不断提高，因此云计算研究人员现在正朝着雾计算和边缘计算领域的研究方向发展。雾计算的目的是通过执行一些最接近需要服务的设备附近的特定可能任务，使设备更靠近数据中心。因此，完整的基础架构本身就变成了组合的雾云。此外，雾计算通过将应用程序模块放置在所述雾云基础架构中可用的设备上来满足运行IoT应用程序的需求。为此，已经开发了各种模块放置和调度方法，但是考虑到环境的异质性和动态性是我们工作的主要关注点。本文的目的是提出一种异构最短模块优先（HSMF）算法，用于在异构雾云计算环境中放置应用程序的模块。使用此算法，我们将异构模块放置在网络中可用的不同Fog设备上。然后将建议的方法与可用的纯云和边缘应用程序模块放置方法进行比较。从我们提出的框架中获得的结果清楚地表明了总执行时间和总网络使用率的改善。本文的目的是提出一种异构最短模块优先（HSMF）算法，用于在异构雾云计算环境中放置应用程序的模块。使用此算法，我们将异构模块放置在网络中可用的不同Fog设备上。然后将建议的方法与可用的纯云和边缘应用程序模块放置方法进行比较。从我们提出的框架中获得的结果清楚地表明了总执行时间和总网络使用率的改善。本文的目的是提出一种异构最短模块优先（HSMF）算法，用于在异构雾云计算环境中放置应用程序的模块。使用此算法，我们将异构模块放置在网络中可用的不同Fog设备上。然后将建议的方法与可用的纯云和边缘应用程序模块放置方法进行比较。从我们提出的框架中获得的结果清楚地表明了总执行时间和总网络使用率的改善。