Multi-task offloading scheme for UAV-Enabled Fog Computing networks

Abstract In UAV-enabled fog Computing networks, how to efficiently offload multiple tasks to the computing nodes is a challenge combinatorial optimization problem. In this paper, in order to optimize the total delay for the UVA-Enabled Fog Computing networks, a simple scheduling algorithm and a multi-task offloading scheme based on fireworks algorithm (FWA) are proposed. First, the system model of multiple tasks offloading in UVA-Enabled fog computing networks is described in detail. Then, a simple scheduling algorithm is proposed to optimize the delay of the tasks allocated to a single node. Based on the scheduling algorithm, a multi-task offloading scheme for all tasks and all computing nodes is presented. Finally, simulation results show that the performance of proposed scheduling algorithm and offloading strategy outperform than that of genetic algorithm and random algorithm. This result can provide an effective optimization for multi-task offloading in UVA-Enabled Fog Computing networks.