Resource allocation method for intelligent vehicle edge computing network

The invention discloses a resource allocation method for an intelligent vehicle edge computing network. The method comprises the following steps: 1, adopting a CEC-IOV hierarchical resource management model; 2, developing a fast and extensible iteration MLML algorithm for the global load balancing problem; 3, proposing a QoS perception resource management scheme and an energy perception resource management scheme, and minimizing power consumption by optimizing the workload and service rate of a group of VMs configured in the MECS; solving a formulated energy efficiency optimization problem by utilizing a KKT condition, and obtaining a semi-closed expression of an optimal solution; and 4, compared with the reference scheme, enabling the numerical result to verify the performance and superiority of the provided QoS perception and energy perception resource management scheme. According to the method, the appropriate response time threshold value and the appropriate migration load are selected from the overload M