The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 27-375
Full Name: Ágnes Bogárdi-Mészöly
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: Goldmann György tér 3. IV. em., 1111 Budapest
Country: HUNGARY
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E-mail address: agi@aut.bme.hu
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Title of the Paper: Improved Performance Model for Web-Based Software Systems
Authors as they appear in the Paper: Ágnes Bogárdi-Mészöly, Tihamér Levendovszky, Hassan Charaf
Email addresses of all the authors: agi@aut.bme.hu, tihamer@aut.bme.hu, hassan@aut.bme.hu
Number of paper pages: 10
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.
Keywords: Web-based software systems, Queueing model, Mean-Value Analysis, Thread pool, Performance prediction, Convergence
EXTENSION of the file: .pdf
Special (Invited) Session: Convergence and Limit of Mean-Value Analysis Algorithms
Organizer of the Session: 591-678
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