Systems and Methods for Efficient Data Preprocessing of Machine Learning Workloads
US-2024403138-A1 · Dec 5, 2024 · US
US2025348359A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025348359-A1 |
| Application number | US-202418659115-A |
| Country | US |
| Kind code | A1 |
| Filing date | May 9, 2024 |
| Priority date | May 9, 2024 |
| Publication date | Nov 13, 2025 |
| Grant date | — |
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Managing resources of a docking station, including establishing a coupling between an information handling system and the docking station; providing a user identifier associated with a user of the information handling system and first parameters associated with the information handling system; identifying second parameters associated with the docking station; requesting a partition of resources of the docking station, including providing the user identifier, the first parameters, and the second identifiers; in response to the request: identifying key performance indicators (KPIs) based on the user identifier, the first parameters, and the second parameters; determining a configuration of the resources of the docking station based on the KPIs; providing the configuration; and applying the configuration to partition the resources of the docking station.
Opening claim text (preview).
What is claimed is: 1 . A computer-implemented method of managing resources of a docking station, including: establishing a coupling between an information handling system and the docking station; providing, by the information handling system and to the docking station, a user identifier associated with a user of the information handling system and first parameters associated with the information handling system; identifying, by the docking station, second parameters associated with the docking station; requesting, by the docking station and to an external computing device communicatively coupled to the docking station, a partition of resources of the docking station, including providing the user identifier, the first parameters, and the second identifiers; in response to the request: identifying, by the external computing device, key performance indicators (KPIs) based on the user identifier, the first parameters, and the second parameters; determining, by the external computing device, a configuration of the resources of the docking station based on the KPIs; providing, by the external computing device and to the docking station, the configuration; and applying, by the docking station, the configuration to partition the resources of the docking station. 2 . The computer-implemented method of claim 1 , further including: storing, at the docking station, data indicating the user identifier and the first parameters. 3 . The computer-implemented method of claim 1 , wherein determining the configuration of the resources further includes identifying a previously generated configuration of the resources based on the KPIs. 4 . The computer-implemented method of claim 1 , wherein determining the configuration of the resources further includes generating the configuration of the resources based on the KPIs. 5 . The computer-implemented method of claim 1 , wherein identifying the KPIs further includes identifying an entitlement of the resources of the docking station based on the user identifier. 6 . The computer-implemented method of claim 1 , wherein identifying the KPIs further includes identifying a security risk of the resources of the docking station based on the first parameters associated with the information handling system, the resources including interfaces of the docking station. 7 . The computer-implemented method of claim 1 , wherein identifying the KPIs further includes identifying a performance of peripheral devices connected to the docking station based on the first parameters associated with the information handling system and the second parameters associated with the docking station. 8 . The computer-implemented method of claim 1 , wherein identifying the KPIs further includes identifying a usage of the peripheral devices based on the first parameters associated with the information handling system and the second parameters associated with the docking station. 9 . The computer-implemented method of claim 1 , further including: requesting, by the docking station and to the information handling system, the user identifier and the first parameters associated with the information handling system. 10 . The computer-implemented method of claim 1 , wherein the first parameters include parameters associated with an operating system (OS) executing at the information handling system and applications executing at the information handling system. 11 . The computer-implemented method of claim 1 , wherein the second parameters include interfaces of the docking station and computing peripherals connected to the docking station. 12 . A computing environment, including: an information handling system comprising a processor having access to memory media storing instructions executable by the processor to perform operations; an external computing device in communication with a docking station and the information handling system, the external computing device comprising a processor having access to memory media storing instructions executable by the processor to perform operations; a plurality of peripheral devices; the docking station connected to the plurality of peripheral devices and the information handling system, the docking station comprising a processor having access to memory media storing instructions executable by the processor to perform operations, comprising: receiving, from the information handling system, a user identifier associated with a user of the information handling system and first parameters associated with the information handling system; identifying second parameters associated with the docking station; requesting, to an external computing device communicatively coupled to the docking station, a partition of resources of the docking station, including providing the user identifier, the first parameters, and the second identifiers; wherein the external computing device is configured to perform operations: identifying key performance indicators (KPIs) based on the user identifier, the first parameters, and the second parameters; determining a configuration of the resources of the docking station based on the KPIs; providing, to the docking station, the configuration; and wherein the docking station is further configured to perform operations: applying the configuration to partition the resources of the docking station. 13 . The computing environment of claim 12 , wherein the docking station is configured to perform operations: storing data indicating the user identifier and the first parameters. 14 . The computing environment of claim 12 , wherein determining the configuration of the resources further includes identifying a previously generated configuration of the resources based on the KPIs. 15 . The computing environment of claim 12 , wherein determining the configuration of the resources further includes generating the configuration of the resources based on the KPIs. 16 . The computing environment of claim 12 , wherein identifying the KPIs further includes identifying an entitlement of the resources of the docking station based on the user identifier. 17 . The computing environment of claim 12 , wherein identifying the KPIs further includes identifying a security risk of the resources of the docking station based on the first parameters associated with the information handling system, the resources including interfaces of the docking station. 18 . The computing environment of claim 12 , wherein identifying the KPIs further includes identifying a performance of peripheral devices connected to the docking station based on the first parameters associated with the information handling system and the second parameters associated with the docking station. 19 . The computing environment of claim 12 , wherein identifying the KPIs further includes identifying a usage of the peripheral devices based on the first parameters associated with the information handling system and the second parameters associated with the docking station. 20 . 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: establishing a coupling between an information handling system and the docking station; providing, by the information handling system and to the docking station, a user identifier associated with a user of the information handling system and first parameters associated with the information han
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Configuring for program initiating, e.g. using registry, configuration files · CPC title
External expansion units, e.g. docking stations · CPC title
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