Load-aware directory migration method and system in distributed file system

Abstract

A load-aware directory migration method in a distributed file system (DFS), including: 1) receiving a plurality of directory requests created by DFS clients, parsing each of the plurality of directory requests, to obtain directory request information corresponding to the plurality of directory requests; 2) inputting all of the directory request information corresponding to the plurality of directory requests obtained in 1) into a pre-trained machine learning model, to obtain directory labels corresponding to all directory requests; 3) obtaining a label corresponding to a maximum score interval from the directory labels corresponding to all directory requests obtained in 2), and obtaining all directories in the directory request information corresponding to the label; 4) building a directory migration queue based on all the directories obtained in 3); and 5) migrating all the directories in the directory migration queue obtained in 4) through particle swarm optimization (PSO), to obtain a final migration result.