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The Predictive Maintenance Indicator model, reliability prediction model and Key Performance Indicator (KPI) model, which are embedded in the RCBIDS, are constructed separately.
The KPI model balanced distribution of patients into different risk groups better than the IPI and PIT models.
The KPI model showed a better balanced distribution of patients into different risk groups than the IPI model.
For the Korean Prognostic Index (KPI) model, 17 patients (53.1 %) had none or one adverse factor, and 15 patients (46.9 %) had two to four adverse factors.
In the KPI model, 84 patients (60.9%) had no or one adverse factor, and the remaining 54 patients (39.1%) had at least two adverse factors.
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A set of candidate predictors must be selected in order to find which one(s) of them are relevant for the video S-KPI model.
Thus, a second predictor variable is required to be included in a complete S-KPI model, describing the bandwidth requirements of the specific video downloaded by the user.
Once S-KPI models are built, a second campaign is launched in order to assess the robustness of the models in a new set of network situations.
The application of the previous three S-KPI models (i.e., (4 - 6)) in a second test campaign, described in Section 3.4 is assessed.
Traffic capturing is a key part of the whole process, since TCP/IP metrics, required for the construction of S-KPI models, are obtained from.pcap files.
These values demonstrate model robustness, since S-KPI models can be easily adapted, or they are even still valid, for two very different network scenarios.
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