System and method for Input/Output (I/O) pattern prediction using recursive neural network and proaction for read/write optimization for sequential and random I/O
US11449230B2 · kind B2 · utility
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Key dates
| Filing date | Mar 7, 2019 |
| Grant date | Sep 20, 2022 |
| Priority date | — |
| Expiry date | Mar 25, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An information handling system may have a long short term memory (LSTM) that receives Input/Output (I/O) parameters, and produces a prediction output by operation of a recursive neural network (RNN). An I/O optimizer provides the I/O parameters to the LSTM and receives the prediction output from the LSTM. The I/O optimizer may include a manager module configured to provide control signals to control gates for controlling application of the I/O parameters and the prediction output, and a collector module configured to collect the I/O parameters.
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