Improved performance model for web-based software systems

  • Authors:

  • Ágnes Bogárdi-Mészöly;Tihamér Levendovszky;Hassan Charaf

  • Affiliations:

  • Budapest University of Technology and Economics, Department of Automation and Applied Informatics, Budapest, Hungary;Budapest University of Technology and Economics, Department of Automation and Applied Informatics, Budapest, Hungary;Budapest University of Technology and Economics, Department of Automation and Applied Informatics, Budapest, Hungary

  • Venue:
  • WSEAS Transactions on Computers
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

The performance of web-based software systems is one of the most important and complicated consideration. With the help of a proper performance model and an appropriate evaluation algorithm, performance metrics can be predicted. The goal of our work is to introduce and verify an improved multi-tier queueing network model for web-based software systems. In our work, an evaluation and prediction technique applying dominant factors in point of response time and throughput performance metrics has been established and investigated. The Mean-Value Analysis algorithm has been improved to model the behavior of the thread pool. The proposed algorithm can be used for performance prediction. The convergence and limit of the algorithm have been analyzed. The validity of the proposed algorithm and the correctness of the performance prediction have been proven with performance measurements.