电力物联网移动边缘计算任务卸载策略

由于云计算框架中的传播延迟无法满足电力物联网对低延迟和可靠性的要求，在移动边缘计算框架的基础上，提出一种基于电力物联网的云-边缘网络结构，并对业务响应时延进行建模。通过约束优化和改进遗传算法相结合求解优化模型，得出最优计算卸载策略。通过仿真进行对比分析，验证提出的移动边缘计算卸载策略的有效性。结果表明，该策略在提高业务处理可靠性的同时，也大幅度降低了故障情况下业务响应时延，与仅重传策略的延迟性能相比，该策略延迟性能提高了6.4%。综上，该研究可对电力物联网的发展提供一定的参考和借鉴。

Power internet of things mobile edge computing task offload strategy

For the propagation delay in the cloud computing framework, it is increasingly difficult to meet the requirements of low delay and reliability of the power Internet of things. Based on the mobile edge computing framework, a cloud edge network structure based on the power Internet of things is proposed, models the service response delay, solves the optimization model through the combination of constraint optimization and improved genetic algorithm, and obtains the optimal computing unloading strategy. The effectiveness of unloading strategy is verified by simulation. The results show that this strategy can not only improve the reliability of business processing, but also greatly reduce the delay of business response in the case of failure. This study provides some references for the development of mobile edge computing.