A Distributed Resource Allocation Algorithm for Task Offloading in Fog-enabled IoT Systems

In the IoT-based systems, the integration of fog computing allows the fog nodes to offload and process tasks requested from IoT-enabled devices in a distributed manner to reduce the response delay. However, achieving such a benefit is still challenging in the heterogeneous fog systems in which long task queues of powerful fogs can contribute to an average long delay of task execution. To handle the conflict of resource request for task processing this paper proposes a distributed fog resource allocation algorithms, namely MaxRU (Maximum Resource Allocation). Through the simulation analysis, MaxRU show potential advantages in reducing the average delay in the heterogeneous fog environment compared with the existing solutions.