Using QNA to Evaluate Parameter Tuning in Mission Critical SOA Networks

One of the limitations of using Service Oriented Architecture (SOA) in mission critical applications (like Air Traffic Control) is the ability to specify stringent Quality of Service (QoS) parameters for individual services. Even determining which Message Broker optimizations to utilize to achieve high QoS is difficult. This research is utilizing the concepts introduced by the Queuing Network Analyzer (QNA) [1] to model the performance of SOA networks with features like message chunking, message exchange patterns (MEP), multi-layer structure and multiple classes of products. Non-exponential service and arrival distributions are investigated. As this is work in progress, we have not completed the simulation models to support the analytic models presented in this paper.