Confident peak-aware response time estimation by exploiting telemetry data from different system configurations

A method for providing responsiveness predictions for deployments, comprising:

• obtaining training data based on:
• a configuration of at least one deployment of the deployments, and
• a measured responsiveness of the at least one deployment;
• performing a peak extraction analysis on the measured responsiveness to obtain conditioned training data;
• obtaining a prediction model using:
• the training data, and
• a first untrained prediction model;
• obtaining a confidence prediction model using:
• the conditioned training data, and
• a second untrained prediction model;
• obtaining a combined prediction using:
• the prediction model, and
• the confidence prediction model;
• and
• performing, based on the combined prediction, an action set to prevent a responsiveness failure.

A non-transitory computer readable medium comprising computer readable program code, which when executed by a computer processor enables the computer processor to perform a method for providing responsiveness predictions for deployments, the method comprising:

• obtaining training data based on:
• a configuration of at least one deployment of the deployments, and
• a measured responsiveness of the at least one deployment;
• performing a peak extraction analysis on the measured responsiveness to obtain conditioned training data;
• obtaining a prediction model using:
• the training data, and
• a first untrained prediction model;
• obtaining a confidence prediction model using:
• the conditioned training data, and
• a second untrained prediction model;
• obtaining a combined prediction using:
• the prediction model, and
• the confidence prediction model;
• and
• performing, based on the combined prediction, an action set to prevent a responsiveness failure.