NMSPNNon-Markovian Stochastic Petri Net
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Figures 8 and 9 show the NMSPN models of the two processes.
Based on the translation rules given in the previous section, the sample can be translated to the NMSPN model given in Figure 10.
This method takes the predicted fire rates (based on ARMA methods discussed earlier) and the NMSPN representations as model inputs.
Employing the predicted firing rates as the input of the NMSPN model, we can predict the future PNCP of the OWL-S process.