Method for managing a machine learning model
US-2020104754-A1 · Apr 2, 2020 · US
US11429301B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11429301-B2 |
| Application number | US-202016855632-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 22, 2020 |
| Priority date | Apr 22, 2020 |
| Publication date | Aug 30, 2022 |
| Grant date | Aug 30, 2022 |
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Methods, systems, and computer programs encoded on computer storage medium, performing, at first time, a calibration and configuration of a data contextual migration model, including: identifying contextual data associated with contextual inputs to a IHS, the contextual data including user contextual data, environmental context data, and system telemetry contextual data; training, based on the contextual data, the data contextual migration model, including: tagging, for each data block of a plurality of data blocks, the data block with identifiers indicating a store location of the data block; storing, based on the identifier associated with each data block, the data block at a local data store of the information handling system, at a remote data store of a remote server computing system, or both; generating a configuration policy including configuration rules, the configuration rules for prioritizing pre-loading of a subset of the data blocks to be provided at the information handling system.
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What is claimed is: 1. A computer-implemented method, comprising: performing, at first time, a calibration and configuration of a data contextual migration model, including: identifying contextual data associated with contextual inputs to an information handling system, the contextual data including user contextual data, environmental context data, and system telemetry contextual data; training, based on the contextual data, the data contextual migration model, including: tagging, for each data block of a plurality of data blocks, the data block with identifiers indicating a store location of the data block; storing, based on the identifier associated with each data block of the data blocks, the data block at a local data store of the information handling system, at a remote data store of a remote server computing system, or both; generating a configuration policy including configuration rules, the configuration rules for prioritizing pre-loading of a subset of the data blocks to be provided at the information handling system; performing, by the data contextual migration computing module at a second time, a steady-state monitoring of the information handling system, including: monitoring the contextual inputs of the information handling system; and in response to monitoring the contextual inputs, i) accessing the data contextual migration model including the configuration policy, ii) identifying one or more of the configuration rules based on the monitored contextual inputs, and iii) applying the one or more configuration rules to prioritize pre-loading of the subset of data blocks to be provided at the information handling system. 2. The computer-implemented method of claim 1 , wherein prioritizing pre-loading of the subset of data blocks includes obtaining the subset of data blocks from the remote data store of the remote server computing system at the information handling system without user interaction. 3. The computer-implemented method of claim 1 , wherein identifying the contextual data includes identifying a location of the information handling system when tagging the data block with identifiers, wherein generating the configuration policy including the configuration rules includes generating the configuration policy based on the location of the information handling system. 4. The computer-implemented method of claim 3 , further comprising identifying the configuration rules based on the location of the information handling system at the second time. 5. The computer-implemented method of claim 4 , wherein the identified configuration rules prevents access of the subset of the data blocks at the information handling system at the location of the information handling system at the second time. 6. The computer-implemented method of claim 1 , wherein identifying the contextual data includes identifying a time of the information handling system when tagging the data block with identifiers, wherein generating the configuration policy including the configuration rules includes generating the configuration policy based on the time of the information handling system. 7. The computer-implemented method of claim 6 , further comprising identify the configuration rules based on the time of the information handling system at the second time. 8. The computer-implemented method of claim 1 , wherein prioritizing pre- loading of the subset of data blocks to be provided at the information handling system further includes minimizing latency of providing the subset of data blocks at the information handling system. 9. An information handling system (IHS), comprising: a memory media storing instructions; a processor in communication with the memory media to execute the instructions to perform operations comprising: performing, at first time, a calibration and configuration of a data contextual migration model, including: identifying contextual data associated with contextual inputs to an information handling system, the contextual data including user contextual data, environmental context data, and system telemetry contextual data; training, based on the contextual data, the data contextual migration model, including: tagging, for each data block of a plurality of data blocks, the data block with identifiers indicating a store location of the data block; storing, based on the identifier associated with each data block of the data blocks, the data block at a local data store of the information handling system, at a remote data store of a remote server computing system, or both; generating a configuration policy including configuration rules, the configuration rules for prioritizing pre-loading of a subset of the data blocks to be provided at the information handling system; performing, by the data contextual migration computing module at a second time, a steady-state monitoring of the information handling system, including: monitoring the contextual inputs of the information handling system; and in response to monitoring the contextual inputs, i) accessing the data contextual migration model including the configuration policy, ii) identifying one or more of the configuration rules based on the monitored contextual inputs, and iii) applying the one or more configuration rules to prioritize pre-loading of the subset of data blocks to be provided at the information handling system. 10. The information handling system of claim 9 , wherein prioritizing pre-loading of the subset of data blocks includes obtaining the subset of data blocks from the remote data store of the remote server computing system at the information handling system without user interaction. 11. The information handling system of claim 9 , wherein identifying the contextual data includes identifying a location of the information handling system when tagging the data block with identifiers, wherein generating the configuration policy including the configuration rules includes generating the configuration policy based on the location of the information handling system. 12. The information handling system of claim 11 , the operations further comprising identifying the configuration rules based on the location of the information handling system at the second time. 13. The information handling system of claim 12 , wherein the identified configuration rules prevents access of the subset of the data blocks at the information handling system at the location of the information handling system at the second time. 14. The information handling system of claim 9 , wherein identifying the contextual data includes identifying a time of the information handling system when tagging the data block with identifiers, wherein generating the configuration policy including the configuration rules includes generating the configuration policy based on the time of the information handling system. 15. The information handling system of claim 14 , the operations further comprising identify the configuration rules based on the time of the information handling system at the second time. 16. The information handling system of claim 9 , wherein prioritizing pre-loading of the subset of data blocks to be provided at the information handling system further includes minimizing latency of providing the subset of data blocks at the information handling system. 17. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: performing, at first time, a calibration and configuration of a data cont
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