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Improved Performance Models for Web-Based Software Systems

Gnes Bogárdi-Mà szà ly

Published by LAP Lambert Academic Publishing
ISBN 10: 3843368678 / ISBN 13: 9783843368674
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Title: Improved Performance Models for Web-Based ...

Publisher: LAP Lambert Academic Publishing

Binding: Paperback

Book Condition: New

Book Type: Paperback

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Paperback. 132 pages. Dimensions: 8.7in. x 5.9in. x 0.3in.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. For modeling such situations queueing model-based approaches are widely recognized. There is a demand for researching the ways how performance models can become more efficient. This thesis addresses the issues to establish performance models and evaluation methodologies, which are suitable for performance prediction of web-based software systems. The first result group introduces and verifies queueing network models and evaluation algorithms to model multi-tier ASP. NET web-based software systems. This contribution also includes the identification and investigation of new dominant factors considering the response time and throughput performance metrics. The second and third contributions deal with the establishment and investigation of the evaluation and prediction techniques applying the identified thread pool and queue limit performance factors. These methods facilitate the efficient performance prediction of web-based software systems. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783843368674

About this title:

Synopsis: 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. For modeling such situations queueing model-based approaches are widely recognized. There is a demand for researching the ways how performance models can become more efficient. This thesis addresses the issues to establish performance models and evaluation methodologies, which are suitable for performance prediction of web-based software systems. The first result group introduces and verifies queueing network models and evaluation algorithms to model multi-tier ASP.NET web-based software systems. This contribution also includes the identification and investigation of new dominant factors considering the response time and throughput performance metrics. The second and third contributions deal with the establishment and investigation of the evaluation and prediction techniques applying the identified thread pool and queue limit performance factors. These methods facilitate the efficient performance prediction of web-based software systems.

About the Author: Ágnes Bogárdi-Mészöly received her Ph.D. degree in computer science in 2010. She is a senior lecturer at Department of Automation and Applied Informatics, Budapest University of Technology and Economics. Her research fields are web-based information systems, queueing networks, performance analysis and optimization.

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