Intelligent backup scheduling and sizing

A system comprising:

• one or more processors;
• and
• a memory coupled to the one or more processors, wherein the memory is configured to provide the one or more processors with instructions which when executed cause the one or more processors to:
• predict future computer resource utilizations using at least one machine learning model among a group of one or more trained machine learning models;
• determine a backup time based on the predicted future computer resource utilizations;
• estimate an amount of storage to reserve for a backup using at least one machine learning model among the group of one or more trained machine learning models;
• and
• initiate, at the backup time, the backup to a portion of the storage reserved based on the estimated amount.

A computer program product, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:

• predicting future computer resource utilizations using at least one machine learning model among a group of one or more trained machine learning models;
• determining a backup time based on the predicted future computer resource utilizations;
• estimating an amount of storage to reserve for a backup using at least one machine learning model among the group of one or more trained machine learning models;
• and
• initiating, at the backup time, the backup to a portion of the storage reserved based on the estimated amount.