USE OF MODEL CALIBRATION TO ACHIEVE HIGH ACCURACY IN ANALYSIS OF COMPUTER NETWORKS

摘要

A method and system are provided for creating a network performance prediction model (308), and calibrating the prediction model, through application of network load statistical analyses (328). The method includes characterizing the measured load on the network (102), which may include background load data obtained over time, and may further include directed load data representative of a transaction-level event. Probabilistic representations of load data are derived to characterize the statistical persistence of the network performance variability and to determine delays throughout the network. The probabilistic representations are applied to the network performance prediction model (318), to adapt the model for accurate prediction of network performance.