Improved performance models of web-based software systems

Web-based software systems access some resources while executing the requests of the clients, typically several requests arrive at the same time, thus, competitive situation is established for the resources. In case of modeling such situation queueing model-based approaches are widely recognized. In our work, novel models and algorithms have been proposed to model the queue limit performance factor. In addition, the computational time and complexity of the proposed algorithms have been provided. Moreover, it has been shown that the proposed models and algorithms can be applied to performance prediction of webbased software systems in ASP.NET environment. The goal of our work is to validate the proposed models and algorithms and to verify the correctness of performance prediction with performance measurements in ASP.NET environment. The results have shown that the proposed models and algorithms predict the performance metrics much more accurate than the original model and algorithm.