Improved Evaluation Algorithm for Performance Prediction with Error Analysis
Ágnes Bogárdi-Mészöly, Tihamér Levendovszky, Hassan Charaf, Takeshi Hashimoto · 2007
With the help of a proper performance model and evaluation algorithm, the performance metrics of information systems can be determined at the early stages of the development process. In our work, the response time and the throughput performance metrics of multi-tier Web applications have been predicted based on a queueing model. The goal of our work is to extend the mean-value analysis (MVA) algorithm according to the investigation of the thread pool. Web applications have been tested with concurrent user sessions in order to validate the proposed algorithm in different versions of ASP.NET environment. Moreover, error analysis has been performed to demonstrate the accuracy of the proposed algorithm.