The invention relates to a distributed storage scheduling method. The method comprises the steps of establishing evaluation indexes, thereby obtaining an evaluation matrix related to m storage nodes; b, carrying out standardization processing on data, thereby obtaining an evaluation index value matrix after dimensional effect elimination is carried out on the data in the evaluation matrix; c, carrying out pairwise comparison through utilization of triangular fuzzy numbers, thereby obtaining a judgment matrix composed of the triangular fuzzy numbers and obtaining a weight vector of each evaluation factor, a weighting evaluation matrix and a weight value of each evaluation factor; and d, solving positive and negative ideal values, thereby obtaining the positive and negative ideal values and the distance from each storage node to the ideal values, sorting each storage node, and selecting the optimum storage node. According to the method, comprehensive analysis can be carried out on various influencing factors in the scheduling process, the optimum storage node is selected for response, the data transmission performance and storage efficiency of network remote distributed storage are greatly improved, and the storage quality of the distributed storage is clearly improved.