An Improving Fault Detection Mechanism in Service-Oriented Applications Based on Queuing Theory

SOA has become more and more popular, but fault tolerance is not fully supported in most existing SOA frameworks and solutions provided by various major software companies. SOA implementations with large number of users, services, or traffic, maintaining the necessary performance levels of applications integrated using an ESB presents a substantial challenge, both to the architects who design the infrastructure as well as to IT professionals who are responsible for administration. In this paper, we improve the performance model for analyzing and detecting faults based on the queuing theory. The performance of services of SOA applications is measuring in two categories (individual services and composite services). We improve the model of the individuals services and add the composite services performance measuring.