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Lock scheduling using machine learning

  • US 10,613,899 B1
  • Filed: 11/09/2018
  • Issued: 04/07/2020
  • Est. Priority Date: 11/09/2018
  • Status: Active Grant
First Claim
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1. A system, comprising:

  • one or more client instances hosted by a platform, wherein the one or more client instances are accessible by one or more remote client networks;

    a memory configured to store instructions;

    a processor configured to execute instructions, wherein the instructions, when executed, cause the processor to perform operations comprising;

    receiving a request to perform an automated task, wherein the automated task impacts at least one resource utilized by the system;

    in response to the request, determining a predicted run time for the automated task using a statistical predictive model, wherein the automated task is associated with one or both of a title or a description to characterize the automated task as a task type for use by the statistical predictive model in generating a predicted run time for the task type;

    locking a respective resource based on at least the predicted run time; and

    executing the automated task.

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