System performance degradation detection and remediation utilizing discrete inter-message timing calculation and modeling inter-message-timing

Abstract

A method for reducing latency in communication over a network incudes obtaining historical data concerning communications including latency, inter-message timing, volume and number of sessions, converting the obtained data into feature parameters, including an inter-message timing metric, for use as inputs to a machine learning algorithm, training the machine learning algorithm using the feature parameters to predict communication latency. After training the network, providing new feature parameters including at least an inter-message timing metric and a number of sessions, concerning a current communication scenario, executing the trained machine learning algorithm to predict latency based on the new feature parameters, determining a predicted minimal latency for the current communication scenario by iteratively executing the machine learning algorithm while adjusting inter-message timing and session parameters, and setting the inter-message timing and session parameters current scenario at values which provide the predicted minimal round trip latency.