车载边缘计算系统中一种有效的资源分配策略

An Efficient Resource Allocation Framework in VEC Systems

移动边缘计算(Mobile Edge Computing,MEC)技术可以通过在网络边缘为车辆提供计算资源来处理车辆应用产生的数据。本文研究了在车辆边缘计算(Vehicular Edge Computing,VEC)系统中,为最小化车辆应用大数据的处理时间而进行的计算和通信资源分配。构造了一个数据处理时间最小化的问题。由于所构造的问题是非凸的问题,提出了一种有效的方法来解决这个问题。仿真结果表明,所提出的资源优化和卸载策略可以降低车载应用数据处理的时间。

The mobile edge computing(MEC)technology can process the data generated from vehicular applications by providing the computing resources for vehicles at the network edge.In this paper,computation and communication resources allocation were studied for minimizing the vehicular applications’execution time in the vehicular edge computing(VEC)systems.An optimization problem was formulated.Since the formulated problem was a non-convex problem,an efficient method was proposed to solve it.The numerical results show the proposed resource optimization and offloading strategy can cut down the data execution time of vehicular applications.