Performance Modeling and Optimization for a Fog-Based IoT Platform

Author:

Tang Shensheng1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, St. Cloud State University, St. Cloud, MN 56301, USA

Abstract

A fog-based IoT platform model involving three layers, i.e., IoT devices, fog nodes, and the cloud, was proposed using an open Jackson network with feedback. The system performance was analyzed for individual subsystems, and the overall system was based on different input parameters. Interesting performance metrics were derived from analytical results. A resource optimization problem was developed and solved to determine the optimal service rates at individual fog nodes under some constraint conditions. Numerical evaluations for the performance and the optimization problem are provided for further understanding of the analysis. The modeling and analysis, as well as the optimization design method, are expected to provide a useful reference for the design and evaluation of fog computing systems.

Publisher

MDPI AG

Subject

General Engineering

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