Technique selection for file system utilization prediction

A computer program product for file system utilization prediction, the computer program product comprising:

• one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions comprising:
• program instructions to execute, using a processor and a memory, a trained classification model, the executing causing a classification of a first set of file system usage data into a set of categories, the set of categories comprising a trend category and a periodicity category, the first set of file system usage data comprising usage data of a file system on a data storage device;
• program instructions to cause, using the processor and the memory, at least one operation from a set of operations, the set of operations comprising (i) generating, responsive to the first set of file system usage data being classified into the trend category, a time series of the first set of file system usage data, and (ii) detecting, responsive to the first set of file system usage data being classified into the periodicity category, using an anomaly detection model, an anomaly within the first set of file system usage data;
• program instructions to cause, using the processor and the memory, at least one alteration from a set of alterations, the set of alterations comprising (i) responsive to predicting that the time series will exceed a threshold, a first reconfiguring of a file system resource, the first reconfiguring altering a capacity of the file system, and (ii) responsive to detecting the anomaly, a second reconfiguring of the file system resource, the second reconfiguring altering a capacity of the file system.

A computer system comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the stored program instructions comprising:

• program instructions to execute, using a processor and a memory, a trained classification model, the executing causing a classification of a first set of file system usage data into a set of categories, the set of categories comprising a trend category and a periodicity category, the first set of file system usage data comprising usage data of a file system on a data storage device;
• program instructions to cause, using the processor and the memory, at least one operation from a set of operations, the set of operations comprising (i) generating, responsive to the first set of file system usage data being classified into the trend category, a time series of the first set of file system usage data, and (ii) detecting, responsive to the first set of file system usage data being classified into the periodicity category, using an anomaly detection model, an anomaly within the first set of file system usage data;
• program instructions to cause, using the processor and the memory, at least one alteration from a set of alterations, the set of alterations comprising (i) responsive to predicting that the time series will exceed a threshold, a first reconfiguring of a file system resource, the first reconfiguring altering a capacity of the file system, and (ii) responsive to detecting the anomaly, a second reconfiguring of the file system resource, the second reconfiguring altering a capacity of the file system.