Measurement methodology to calibrate analytical models including operating system overhead

This paper focuses on reducing computing time in large simulation models by replacing some of their elements with analytically determined solutions. In particular, we study realistic analytical server models that include operating system overhead. This overhead will be determined by measuring the behaviour of a representative workload. In this work, we propose a methodology to reduce the number of measurements based on information provided by an analytical workload model. The calibration of the model is also presented. As workload, the TPC-C benchmark was chosen due to our interest in transactional systems.