Modeling and Reliability Prediction of WS-CDL Based Service Composition, a Petri-Net-Based Approach

We propose a Petri-net-based approach for reliability prediction of composite service built on WS-CDL. To quantitatively investigate the reliability of composite services, we first give a set of translation rules to map WS-CDL elements into generalized-stochastic-petri-nets (GSPN). Based on the GSPN representation, we introduce the prediction algorithm to calculate the process-normal-completion probability of composite service. We also validate the accuracy of the approach in the experimental study by showing 95% confidence intervals obtained from experimental results cover corresponding theoretical prediction values.