Computing task allocation method under multiple fog nodes and multiple scenes

The invention belongs to the technical field of fog computing resource allocation, and particularly relates to a multi-fog-node multi-scene computing task allocation method, which comprises the following specific steps of: 1, applying the advantages of a software defined network to a cloud-fog-end architecture, constructing a system model, and constructing a cloud-fog-end architecture; a controller in the model is used for collecting all task information such as resources of each terminal device, a fog node and a cloud server; 2, performing priority division on tasks of the terminal equipment by a task priority division method based on a K-means algorithm; 3, performing task allocation on the task sets with the divided priorities based on an improved quantum pigeon inspired optimization algorithm; in order to solve the problem that an improved quantum pigeon inspired optimization algorithm is not suitable for discrete problems, the algorithm is discretized, and finally, the effectiveness of the method is veri