Resource scheduling method, resource scheduling device, electronic equipment and storage medium

The invention provides a resource scheduling method, a resource scheduling device, electronic equipment and a storage medium, and belongs to the technical field of big data. The resource scheduling method comprises the steps of dividing target task data into total task data and sub-cycle task data so as to predict whether a task can be completed or not for each sub-cycle. In the prediction, for the current sub-cycle, task completion prediction is performed according to the total task data, the sub-cycle task data of the current sub-cycle, the accumulated actual completion task data and the reference actual completion task data, and the predicted task completion probability of the current sub-cycle is obtained. The resource scheduling strategy is adjusted based on the predicted task completion probability obtained based on the four data, and the accuracy is high. In addition, the resource scheduling strategy of the current sub-period can be adjusted, the whole current overall period does not need to be adjuste