Queueing networks and Markov chains: modeling and performance evaluation with computer science applications
httperf—a tool for measuring web server performance
ACM SIGMETRICS Performance Evaluation Review
Characterizing Secure Dynamic Web Applications Scalability
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
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
Session-Based Adaptive Overload Control for Secure Dynamic Web Applications
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
Complete instrumentation requirements for performance analysis of Web based technologies
ISPASS '03 Proceedings of the 2003 IEEE International Symposium on Performance Analysis of Systems and Software
Performance modeling and system management for multi-component online services
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Autonomic QoS control in enterprise Grid environments using online simulation
Journal of Systems and Software
EPEW'07 Proceedings of the 4th European performance engineering conference on Formal methods and stochastic models for performance evaluation
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Characterizing application servers performance becomes hard work when the system is unavailable or when a great amount of time and resources are required to generate the results. In this paper we propose the modeling and simulation of complex systems, such as application servers, in order to alleviate this limitation. Using simulations, and specifically coarse-grain simulations as we propose here, allows us to overcome the necessity of using the real system while taking only 1/10 of the time than that of the real system to generate the results. Our simulation proposal can be used to obtain server performance measurements, to evaluate server behavior with different configuration parameters or to evaluate the impact of incorporating additional mechanisms to the servers to improve their performance without the necessity of using the real system.