DocumentCode :
3184768
Title :
Improved Evaluation Algorithm for Performance Prediction with Error Analysis
Author :
Bogárdi-Mészöly, Ágnes ; Levendovszky, Tihamér ; Charaf, Hassan ; Hashimoto, Takeshi
Author_Institution :
Budapest Univ. of Technol. & Econ., Budapest
fYear :
2007
fDate :
June 29 2007-July 2 2007
Firstpage :
301
Lastpage :
306
Abstract :
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.
Keywords :
Internet; error analysis; information systems; network operating systems; performance evaluation; queueing theory; ASP.NET environment; error analysis; improved evaluation algorithm; information system; mean-value analysis algorithm; multitier Web application; performance prediction; queueing model; thread pool; Algorithm design and analysis; Delay; Error analysis; Information systems; Measurement; Prediction algorithms; Predictive models; Testing; Throughput; Yarn;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Engineering Systems, 2007. INES 2007. 11th International Conference on
Conference_Location :
Budapest
Print_ISBN :
1-4244-1147-5
Electronic_ISBN :
1-4244-1148-3
Type :
conf
DOI :
10.1109/INES.2007.4283716
Filename :
4283716
Link To Document :
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