Patent ID: 11226741

Abstract:
Described herein is a system, and related techniques, for predicting I/O requests that are not necessarily directed to sequential sectors of a physical storage device. In some embodiments, I/O patterns that do not involve sequential-sector access, and that may be relatively long-term patterns, may be recognized. To recognize such patterns, deep machine-learning techniques may be used, for example, using neural networks. Such neural networks may be a recurrent neural network such as, for example, an LSTM-RNN. I/O streams for a workstream may be sampled for specific I/O features to produce a time series of I/O feature values of a workstream, and this time series of data may be fed to a prediction engine, e.g., an LSTM-RNN to predict one or more future I/O features values, and I/O actions may be taken based on these predicted feature values.