MFP: an approach to delay and energy-efficient module placement in IoT applications based on multi-fog

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.