Abstract: This application provides a data backup method and apparatus. The data backup method in this application includes: obtaining first backup data volumes and first job completion times of a plurality of service objects, where the first backup data volumes and the first job completion times correspond to last backup jobs of the plurality of service objects; obtaining a scheduling sequence of next backup jobs of the plurality of service objects based on the first backup data volumes and the first job completion times; and sending a scheduling indication to a client based on the scheduling sequence of the next backup jobs of the plurality of service objects, where the scheduling indication includes an identifier of a service object corresponding to a backup job that is to be scheduled.

Abstract: A method, processing system and processor-readable medium for generating network configurations using a graph neural network (GNN) are provided. The method may include receiving a first matrix M generated based on a set of network requirements; storing a GNN having a plurality of nodes v and a plurality of edges; initializing the GNN based on a second matrix Xv having a plurality of elements, each element corresponding to a node from a plurality of nodes v of the GNN; and generating an output matrix having a plurality of nodes labelled based on the first matrix M.

Abstract: A method, processing system and processor-readable medium for generating network configurations using a graph neural network (GNN) are provided. The method may include receiving a first matrix M generated based on a set of network requirements; storing a GNN having a plurality of nodes v and a plurality of edges; initializing the GNN based on a second matrix Xv having a plurality of elements, each element corresponding to a node from a plurality of nodes v of the GNN; and generating an output matrix having a plurality of nodes labelled based on the first matrix M.