Fog Computing Simulator
Fog and Cloud Computing Optimization in Mobile IoT Environments
Scheduling tasks using Osprey Optimization Algorithm (OOA) in iFogSim Simulator
This is a tutorial on how to use iFogSim
SIREN: Multi-Objective Game-Theoretic Scheduler based on Memory-Driven Grey Wolf Optimization in Fog-Cloud Computing
Masters thesis experiments + SAC 2024 repo
Healthcare edge-computing system: priority-based task scheduling of IoT patient data between edge and cloud, with RandomForest risk prediction. EdgeSimPy + iFogSim2.
Fog-assisted hypoglycemia/hyperglycemia alerts for continuous glucose monitoring, simulated in iFogSim2: cloud vs clinic vs patient-edge placement (44x faster alerts, 99% lower cloud cost)
Fog computing for hydroponic monitoring over heterogeneous LPWAN, with bio-inspired optimization (iFogSim2) — CS thesis, UPS Cuenca 2026
An expansion of iFogSim that incorporates Web of Things Thing Descriptions, enabling Node-RED workflows to be transformed into virtual IoT devices that can automatically run through a simulation. This allows developers to design, test, and optimise IoT applications efficiently.
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