A stochastic model for performance evaluation and bottleneck discovering on SOA-based systems

The Service-Oriented Architecture (SOA) has become a unifying technical architecture that may be embodied through Web Service technologies. Predicting the variable behavior of SOA systems can mean a way to improve the quality of the business transactions. This paper proposes a simulation modeling approach based on stochastic Petri nets to estimate the performance of SOA-applications. Using the proposed model is possible to predict resource consumption and service levels degradation in scenarios with different compositions and workloads, even before developing the application. A case study was conducted in order to validate our approach, comparing its accuracy with the results from an analytical model existent in the literature.