Run-time determination of application performance with low overhead impact on system performance
Abstract:
Techniques are disclosed for determining the run-time performance of an application executing on a computing system with low impact on the performance of the computing system. For example, a time series telemetry data stream is obtained for each of a plurality of key performance indicators during run-time execution of the application on a computing system having a given system configuration. One or more statistical features are extracted from each time series telemetry data stream. Model parameters of a machine learning performance score model are populated with values of the extracted statistical features. A run-time performance score of the application is then determined using the model parameters of the machine learning performance score model populated with the values of the extracted statistical features.
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