Prefetching data using predictive analysis

A computing system comprising:

• a memory storing instructions;
• and
• processing circuitry, the instructions configured to cause the processing circuitry to:
• store a plurality of objects of a file system, wherein a first subset of the plurality of objects is stored to a first storage tier and a second subset of the plurality of objects is stored to a second storage tier;
• for each object of the plurality of objects, classify the object with one or more classifications of a plurality classifications that each identifies a type of data stored as the object based at least on corresponding metadata identifying a source that created the object;
• store a data access record indicating previous instances of data access requests for each of the plurality of objects and the one or more classifications of each of the plurality of objects;
• apply a machine learning model to generate a prediction of future data access to one or more objects of the second subset based at least on the one or more classifications of the data access record, wherein the prediction includes a predicted time for the future data access;
• retrieve, based on the prediction, the one or more objects of the second subset from the second storage tier prior to the predicted time;
• and
• store, to the first storage tier, the one or more objects of the second subset retrieved based on the prediction.

A computer-readable storage medium comprising instructions that, when executed, cause processing circuitry of a computing system to:

• store a plurality of objects of a file system, wherein a first subset of the plurality of objects is stored to a first storage tier and a second subset of the plurality of objects is stored to a second storage tier;
• for each object of the plurality of objects, classify the object with one or more classifications of a plurality classifications that each identifies a type of data stored as the object based at least on corresponding metadata identifying a source that created the object;
• store a data access record indicating previous instances of data access requests for each of the plurality of objects and the one or more classifications of each of the plurality of objects;
• apply a machine learning model to generate a prediction of future data access to one or more objects of the second subset based at least on the one or more classifications of the data access record, wherein the prediction includes a predicted time for the future data access;
• retrieve, based on the prediction, the one or more objects of the second subset from the second storage tier prior to the predicted time;
• and
• store, to the first storage tier, the one or more objects of the second subset retrieved based on the prediction.