US Patent 10289958 Storage system with machine learning based skew prediction

An apparatus comprises a plurality of storage tiers, at least one data mover module, and a machine learning system coupled to the data mover module. The machine learning system comprises a model generator and a skew predictor. The model generator processes information characterizing input-output activity involving one or more of the storage tiers in order to obtain skew measurements in different time granularities, with the skew measurements indicating portions of the input-output activity directed to portions of the storage tier(s), and generates a predictive model from the skew measurements. The skew predictor is configured in accordance with the predictive model to convert skew measurements in one of the time granularities to corresponding skew measurements in another one of the time granularities. One or more of the converted skew measurements are utilized by the data mover module in controlling transfer of data between the storage tiers.