【摘要】 为解决资源受限情况下执行计算密集型任务带来的服务器过载、等待时延过长等问题，本文构建了异构边缘云网络模型，将计算任务卸载到无人机、路边单元和车辆等具有一定计算能力的边缘节点中，并进行处理。以降低系统平均开销为目的，将计算资源分配问题转化为目标优化问题，并采用拉格朗日乘子法进行求解。与基线方案进行对比实验，仿真结果表明，本文提出的方案可以有效地降低系统平均开销。更多还原

【Abstract】 In order to solve the problems of server overload and long waiting delay caused by executing computationally intensive tasks under resource constraints, this paper constructs a heterogeneous edge cloud network model to offload computational tasks to edge nodes with certain computational capabilities, such as UAVs, roadside units and vehicles, and process them. With the aim of reducing the average system overhead, the computational resource allocation problem is transformed into an objective optimization problem and solved using the Lagrange multiplier method. The comparison experiments are conducted with the baseline scheme, and the simulation results show that the scheme proposed in this paper can effectively reduce the average system overhead.更多还原