Methods and systems for controlling data backup

A system for controlling data backup, comprising:

• a storage unit configured to store one or more programs and a decision model for controlling selection of a data backup solution;
• and
• a processor coupled to the storage unit and configured to execute the one or more programs to cause the system to perform acts including:
• obtaining test data for performing data backup with a plurality of backup solutions, the plurality of backup solutions being associated with each set of preset values amongst a plurality of sets of preset values for a plurality of factors affecting the data backup, wherein obtaining the test data includes generating the test data by performing, based on each set of preset values for the plurality of factors, data backup procedures between a first data storage system and a second data storage system with each one of the plurality of backup solutions, and wherein the test data includes time for performing each of the data backup procedures between the first data storage system and the second data storage system;
• generating a training sample set based on comparison of the test data, wherein generating the training sample set includes:
• for each set of preset values, comparing time for performing the data backup between the first data storage system and the second data storage system with different backup solutions in the test data,
• selecting a backup solution with which the time for performing the data backup between the first data storage system and the second data storage system is lower than a threshold value, and
• generating a training sample of the training sample set based on the selected backup solution and the associated set of values for the plurality of factors;
• converting the training sample set into a decision model for controlling data backup by a client and storing the decision model into a shared storage unit;
• optimizing the decision model based on configuration parameters obtained at least in part by performing, by the client, data backup with the decision model, wherein optimizing the decision model includes performing incremental sample training based only on the configuration parameters, and wherein performing the incremental sample training includes:
• generating an incremental training sample based only on the configuration parameters, and
• training the incremental training sample based on a machine learning algorithm that enables multi-variable system classification and supports incremental learning of newly-added data;
• and
• wherein the configuration parameters obtained by performing data backup with the decision model are obtained by:
• performing, by the client, the data backup online with the decision model stored in the shared storage unit, and
• collecting, by a storage management server, the configuration parameters of the client online.