FogWeaver: Task Allocation Optimization Strategy across Hybrid Fog Environments

As the complexity and requirements of IoT systems evolve, there comes a need for adaptable optimization algorithms that improve the process of task allocation, particularly across fog infrastructures. In this paper, we introduce FogWeaver, a strategy for optimizing task allocation within hybrid fog environments by integrating particle swarm optimization into the task allocation process. FogWeaver determines tasks that can efficiently run within fog environments, while reducing the latency associated with offloading tasks to cloud resources. Throughout this paper, we present experimental validation results, and analysis of the proposed optimization approach.