FogNetSim++: A Toolkit for Modeling and Simulation of Distributed Fog Envi- ronment

Abstract

Fog computing is an emerging technology that extends the cloud and brings the resources closer to the end devices to achieve better performance in latency-sensitive application. Fog computing still lacks the standardization in terms of simulation environment and architecture. Several fog simulators has been developed and proposed previously. Most of the existing fog simulators ignore core network characteristics like error rate, packet loss, bandwidth etc. There are a number of fog simulators available today, among which a few are open-source, whereas rest are commercially available. The existing fog simulators mainly focus on a number of devices that can be simulated. Generally, the existing simulators are more inclined toward sensors' con gurations, where sensors generate raw data and fog nodes are used to intelligently process the data before sending to back-end cloud or other nodes. Therefore, these simulators lack network properties and assume reliable and error-free delivery on every service request. Moreover, no simulator allows researchers to incorporate their own fog nodes management algorithms, such as scheduling. In existing work, device handover is also not supported. In this paper, we propose a new fog simulator called FogNetSim++1 that provides users with detailed con guration options to simulate a large fog network. It enables researchers to incorporate customized mobility models, fog node scheduling algorithms, and manage handover mechanisms. In our evaluation setup, a tra c management system is evaluated to demonstrate the scalability and e ectiveness of proposed simulator in terms of CPU, and memory usage. We have also benchmarked the network parameters such as execution delay, packet error rate, handovers, and latency.