Storage resource capacity prediction utilizing a plurality of time series forecasting models

A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device:

• to monitor one or more storage systems to obtain historical storage resource utilization data characterizing resource utilization for a given set of storage resources of the one or more storage systems for a first period of time;
• to generate a plurality of different model-specific storage resource capacity predictions of resource utilization for the given set of storage resources for a second period of time subsequent to the first period of time, the plurality of different model-specific storage resource capacity predictions being generated by applying the historical storage resource utilization data as input to respective ones of a plurality of different time series capacity prediction forecasting models that take into account one or more different factors, including at least one of a seasonality factor and a trend factor;
• to evaluate the plurality of different model-specific storage resource capacity predictions utilizing one or more empirical conditions, the one or more empirical conditions comprising at least one of noise and uncertainty;
• to select a subset of the plurality of model-specific storage resource capacity predictions having one or more designated characteristics, the one or more designated characteristics comprising at least one of a level of noise below a designated noise threshold and a level of uncertainty below a designated uncertainty threshold;
• to determine an overall storage resource capacity prediction based at least in part on a combination of the selected subset of the model-specific storage resource capacity predictions;
• and
• to modify a provisioning of storage resources of the one or more storage systems based at least in part on the overall storage resource capacity prediction.

An apparatus comprising:

• at least one processing device comprising a processor coupled to a memory;
• the at least one processing device being configured:
• to monitor one or more storage systems to obtain historical storage resource utilization data characterizing resource utilization for a given set of storage resources of the one or more storage systems for a first period of time;
• to generate a plurality of different model-specific storage resource capacity predictions of resource utilization for the given set of storage resources for a second period of time subsequent to the first period of time, the plurality of different model-specific storage resource capacity predictions being generated by applying the historical storage resource utilization data as input to respective ones of a plurality of different time series capacity prediction forecasting models that take into account one or more different factors, including at least one of a seasonality factor and a trend factor;
• to evaluate the plurality of different model-specific storage resource capacity predictions utilizing one or more empirical conditions, the one or more empirical conditions comprising at least one of noise and uncertainty;
• to select a subset of the plurality of model-specific storage resource capacity predictions having one or more designated characteristics, the one or more designated characteristics comprising at least one of a level of noise below a designated noise threshold and a level of uncertainty below a designated uncertainty threshold;
• to determine an overall storage resource capacity prediction based at least in part on a combination of the selected subset of the model-specific storage resource capacity predictions;
• and
• to modify a provisioning of storage resources of the one or more storage systems based at least in part on the overall storage resource capacity prediction.