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The TOTEM experiment at the LHC is composed by 3 different detectors, (Roman Pots silicon detectors, CSC T1 & GEM T2 telescopes). The Detector Control System (DCS) is generated in a highly automated process from external representations for connectivity and behavior. From these representations (one of them, the Finite State Machine tree) it is also possible to estimate the response of the system. It is possible to assign weights to each one of the nodes and estimate data transfers among subsystems, memory consumptions, reaction times, storage needs,… The main purpose of those estimations is not to do a full predictability analysis of the system, but just to provide a help in case of performance problems. By tuning the parameters of the estimation with the observed performance of the system, we can address issues that in principle could not be solved by purchasing a more powerful computer.
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