Titlebook: Computer Performance Engineering; 5th European Perform Nigel Thomas,Carlos Juiz Conference proceedings 2008 Springer-Verlag Berlin Heidelbe

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A Calibration Framework for Capturing and Calibrating Software Performance Modelsrs” efficiently using a Kalman Filter. The second is the exploitation of the filter estimator to control the calibration framework, for example to terminate a test when accuracy is sufficient, and to design tests for parameter coverage. The technique is demonstrated on simulated data and on an implemented Voice-over-IP (VoIP) system.

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Towards State Space Reduction Based on T-Lumpability-Consistent Relationsgorithm for ordinary lumpability, thus enhancing the potential for exact state space reduction. We also identify a class of systems – those providing incremental services – for which the resulting aggregation algorithm turns out to be useful.