Experimentation and output interchange for petri net models
WOSP '08 Proceedings of the 7th international workshop on Software and performance
Multiple abstraction levels in performance analysis of WSN monitoring systems
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Model interoperability for performance engineering: survey of milestones and evolution
PERFORM'10 Proceedings of the 2010 IFIP WG 6.3/7.3 international conference on Performance Evaluation of Computer and Communication Systems: milestones and future challenges
| Hi-index | 0.00 |
Models of complex systems often contain model parameters for important rates, probabilities, and initial state values. By varying the parameter values, the system modeler can study the behavior of the system under a wide range of system and environmental assumptions. However, exhaustive exploration of the parameter space of a large model is computationally expensive. Design of experiments techniques provide information about the degree of sensitivity of output variables to various input parameters. Design of experiments makes it possible to find parameter values that optimize measured outputs of the system by running fewer experiments than required by less rigorous techniques. This paper describes the design of experiments techniques that have been integrated in the M篓obius tool.