Distributed resource reservation strategy oriented to edge alliance

The invention aims to establish a distributed edge alliance model, introduces a resource reservation strategy which comprehensively considers the task request level of the user, the residual computing resources of the edge resource providers and the task execution condition, and aims to ensure full cooperation between the edge resource providers, improve the resource utilization rate and improve the task execution efficiency. The method specifically comprises the steps of calculating the average calculation time delay of all tasks, determining a resource reservation rate and determining a task scheduling strategy. Compared with the prior art, the method has the advantages that a task unloading model for reserving resources for the next time slot is considered, the number of times of transferring the tasks between edge resource providers is effectively reduced, and therefore the average processing time delay of the overall tasks of the alliance is reduced; a proposed resource reservation strategy integrating a