The PEPA workbench: a tool to support a process algebra-based approach to performance modelling
Proceedings of the 7th international conference on Computer performance evaluation : modelling techniques and tools: modelling techniques and tools
Theoretical Computer Science
Mean-Value Analysis of Closed Multichain Queuing Networks
Journal of the ACM (JACM)
Compositional performance modelling with the TIPPtool
Performance Evaluation - Special issue on modelling techniques and tools for performance evaluation
Capacity Planning for Web Services: metrics, models, and methods
Capacity Planning for Web Services: metrics, models, and methods
From UML sequence diagrams and statecharts to analysable petri net models
WOSP '02 Proceedings of the 3rd international workshop on Software and performance
An analytical model for multi-tier internet services and its applications
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
A method for evaluating the impact of software configuration parameters on e-commerce sites
Proceedings of the 5th international workshop on Software and performance
Dynamic resource management in internet hosting platforms
Dynamic resource management in internet hosting platforms
Improving .NET Application Performance and Scalability (Patterns & Practices)
Improving .NET Application Performance and Scalability (Patterns & Practices)
Investigating factors influencing the response time in ASP.NET web applications
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
Autonomic load-testing framework
Proceedings of the 8th ACM international conference on Autonomic computing
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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. In case of modeling such situation queueing model-based approaches are widely recognized. In our work, novel models and algorithms have been proposed to model the queue limit performance factor. In addition, the computational time and complexity of the proposed algorithms have been provided. Moreover, it has been shown that the proposed models and algorithms can be applied to performance prediction of web-based software systems in ASP.NET environment. The goal of our work is to validate the proposed models and algorithms and to verify the correctness of performance prediction with performance measurements in ASP.NET environment. The results have shown that the proposed models and algorithms predict the performance metrics much more accurate than the original model and algorithm.