Performance Modeling and Optimization for a Fog-Based IoT Platform

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.

Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0

“…As IoT devices become increasingly integrated into society, there are still numerous security challenges that pose a threat to their spread. Numerous technologies are being developed in order to help protect the safe use of IoT devices, and it is clear that advances in security will be critical moving forward into the future [ 22 , 23 , 24 , 25 , 26 , 27 ].…”

“…As IoT devices become increasingly integrated into society, there are still numerous security challenges that pose a threat to their spread. Numerous technologies are being developed in order to help protect the safe use of IoT devices, and it is clear that advances in security will be critical moving forward into the future [22][23][24][25][26][27]. Numerous research works have been conducted to address various aspects of the Internet of Things (IoT), encompassing energy harvesting, device-to-device communication, energy efficiency, resource allocation, edge computing, security, privacy, and applications across different domains.…”

Constraint-Aware Federated Scheduling for Data Center Workloads

“…One way to reduce latency in IoT workloads is to execute parts of a transaction at a fog server instead of the cloud. Fog servers are closer to IoT devices, so communication overhead is lower [6]. This is often performed in applications like autonomous cars, eHealth services, and smart cities [7].…”