基于移动边缘计算的任务卸载策略研究

由于传统云计算的高时延和处理能力有限,无法满足5G网络的发展要求。基于移动边缘计算网络框架,提出了一种结合通信时延和计算时延的联合优化卸载策略用于移动边缘计算网络。该策略通过移动边缘计算设备不同的计算能力和通信链路的不同传输速率,对移动用户任务进行决策。通过仿真分析该卸载方法对任务大小和时延的影响,验证了该方法的优越性。结果表明,相比于传统的卸载方法,该方法可以有效地降低卸载时间和提高数据处理能力,有一定的参考价值。

research on the motion recognition method of lower limb rehabilitation training robot for the elderly

Due to the high delay and limited processing capacity of traditional cloud computing, it can not meet the development requirements of 5g network.Based on the framework of mobile edge computing network, a joint optimal unloading strategy combining communication delay and computing delay is proposed for mobile edge computing network.The strategy makes decisions on the mobile user tasks by computing the different computing power and simultaneous interpreting rate of the mobile edge computing devices.The influence of the unloading method on task size and delay is analyzed by simulation, and the superiority of the method is verified.The results show that compared with the traditional unloading method, this method can effectively reduce the unloading time and improve the data processing capacity, which has a certain reference value.