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AssigneeAdobe Inc.
InventorsShashank Gupta, Gaurav Gupta
Estimating the term…
Embodiments of the present invention are directed to techniques for optimizing an execution mode used to process a request. A self-training storage system can determine one or more proposed execution modes based on a real-time evaluation of various factors, including a history of execution modes used to process historical requests. This history can serve as training data for a machine learning model that can predict an execution mode based on one or more request parameters. This predicted execution mode can be taken as one of a number of proposed execution modes that can be combined using a weightage system to automatically classify an ultimate execution mode used to process the request. Associated weights for combining proposed execution modes can be determined by training a machine learning model using a training set constructed based on a survey of user satisfaction with a determined execution mode.
One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform operations comprising:
A computerized method for optimizing execution modes, the method comprising:
A computer system comprising:
Dependencies are inferred from the claim text.