Improving .NET Application Performance and Scalability (Patterns & Practices)
Improving .NET Application Performance and Scalability (Patterns & Practices)
A novel algorithm to model the queue limit
CSECS'08 Proceedings of the 7th conference on Circuits, systems, electronics, control and signal processing
Convergence and limit of mean-value analysis algorithms
ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
Improved performance models of web-based software systems
INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
Improved performance model for web-based software systems
WSEAS Transactions on Computers
A software product line-based self-healing strategy for web-based applications
Proceedings of the 15th International Software Product Line Conference, Volume 2
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Distributed systems and network applications play an important role in computer science nowadays. The most common consideration is performance, because these systems have to provide cost-effective and high availability services in the long term, thus they have to be scaled to meet the expected load. The performance of a web application is affected by several factors. The goal of our work is to analyze how some of them affect the response time. The paper presents the result of performance measurements of an ASP.NET web application. We measured the average response time of a test web application while changing the parameters of the application server. The results are analyzed using statistical methods: (i) independence tests to investigate which factors influence principally the performance, (ii) in addition certain plots and hypothesis tests to determine the distribution of the response time.