Unified local patch repository
    82.
    发明授权

    公开(公告)号:US11922158B2

    公开(公告)日:2024-03-05

    申请号:US17455864

    申请日:2021-11-19

    Applicant: Intigua, Inc.

    CPC classification number: G06F8/65 G06F8/71 G06F9/505 G06F9/5077

    Abstract: A method for software patching, the method may include determining to expose at least one patch of a version of an operating system to one or more computers located outside a unified local path repository (ULPR) hosted by a computer; and exposing, for period of time and by the ULPR, a selected logical computer that stores the at least one patch. The selected logical computer is selected out of multiple logical computers of the ULPR. Different logical computers of the multiple logical computers store operating systems that differ from each other by at least one of identity and version.

    Technologies for providing predictive thermal management

    公开(公告)号:US11907759B2

    公开(公告)日:2024-02-20

    申请号:US17352141

    申请日:2021-06-18

    Abstract: Technologies for providing predictive thermal management include a compute device. The compute device includes a compute engine and an execution assistant device to assist the compute engine in the execution of a workload. The compute engine is configured to obtain a profile that relates a utilization factor indicative of a present amount of activity of the execution assistant device to a predicted temperature of the execution assistant device, determine, as the execution assistant device assists in the execution of the workload, a value of the utilization factor of the execution assistant device, determine, as a function of the determined value of the utilization factor and the obtained profile, the predicted temperature of the execution assistant device, determine whether the predicted temperature satisfies a predefined threshold temperature, and adjust, in response to a determination that the predicted temperature satisfies the predefined threshold temperature, an operation of the compute device to reduce the predicted temperature. Other embodiments are also described and claimed.

    Inference flow orchestration service

    公开(公告)号:US11900169B1

    公开(公告)日:2024-02-13

    申请号:US17230784

    申请日:2021-04-14

    CPC classification number: G06F9/505 G06F16/9024 G06N20/00

    Abstract: Descriptors of machine learning tasks to be used to respond to analysis requests, indicating acceptable categories of runtime environments for the tasks and metrics to be collected from the tasks, are received via programmatic interfaces. In response to an analysis request, an orchestrator receives results from individual tasks as they become available, provides the results to other tasks, and causes a response to the request to be prepared using results from at least a subset of the tasks. Metrics collected from the tasks, and a visual representation of the tasks indicating their runtime environments are presented.

    Performance-centric cloud database virtual core sizing stack

    公开(公告)号:US11899634B2

    公开(公告)日:2024-02-13

    申请号:US17204102

    申请日:2021-03-17

    CPC classification number: G06F16/217 G06F9/505 G06F9/5016 G06N20/00

    Abstract: A multi-layer database sizing stack may generate prescriptive tier requisition tokens for controlling requisition of database-compute resources at database-compute tiers. The input layer of the database sizing stack may obtain historical data. The threading layer may be used to flag occurrences of single threading application execution. The change layer may be used to determine potential for a step based on compute utilization type data and assert flags indicating the potential. The step layer may determine if potential steps may be taken based on operation-rate type data and flush type data. The requisition layer may generate a tier requisition token based on the provisional requisition tokens generated at other layers and/or finalization directives obtained at the requisition layer.

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