## 4 Results and Discussion
### Results
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline
\begin{tabular}{c} **Input** \\ **Variable** \\ \end{tabular} & **Data Set 1** & **Data Set 2** & **Data Set 3** & **Data Set 4** & **Data Set 5** & **Data Set 6** & **Data Set 7** & **Data Set 8** \\ \hline
**lambdaR** & D1: 0-350 & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} \\
**[1/s]** & D2: 50 & & & & & & & & \\ \hline
**lambda1d** & D1: 0-100 & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} \\
**[1/s]** & D2: 50 & & & & & & & & \\ \hline
**lambda2d** & \multirow{2}{*}{50} & D1: 0-100 & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} \\
**[1/s]** & & D2: 50 & & & & & & & \\ \hline
**TINV [ms]** & 0.5 & \multirow{2}{*}{0.5} & D1: 0-0.8 & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} \\
**TAN [ms]** & 0.5 & \multirow{2}{*}{0.5} & D1: 0.5–2.5 & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} \\
**TA [ms]** & 0.5 & \multirow{2}{*}{0.5} & D0.5 & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} \\  & & & D2: 0.5 & & & & & \\ \hline
**Tproc [\(\mu\)s]** & 50 & 50 & D1: 5-600 & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} & \multirow{2}{*}{50} \\
**Tresp [ms]** & 0.5 & \multirow{2}{*}{0.5} & D1: 0.5–2.9 & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} & \multirow{2}{*}{0.5} \\
**ETR [ms]** & 5 & 5 & 5 &
\begin{tabular}{c} D1: 0-1000 \\ D2: 5 \\ \end{tabular} & \multirow{2}{*}{5} & \multirow{2}{*}{5} & \multirow{2}{*}{5} & \multirow{2}{*}{5} & \multirow{2}{*}{5} & \multirow{2}{*}{5} \\
**EXA [ms]** & 10 & 10 & 10 & 10 & D1: 0–400 & D2: 10 & 10 & 10 & 10 \\ \hline
**EY [ms]** & 10 & 10 & 10 & 10 & D1: 0–400 & D1: 0–400 & D2: 10 & 10 & 10 & 10 \\ \hline
**rC** & 0.5 & 0.5 & 0.5 & 0.5 & 0.5 & D1: 0–1 & D2: 0.5 & 0.5 & 0.5 \\ \hline
**pb** & 0 & 0 & 0 & 0 & 0 & D1: 0–0.1 & 0–0.1 & 0–0 \\  & & & & & D2: 0 & 0 & D2: 0 \\ \hline
**p11** & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 & D1: 0–1 & D2: 0.4 & 0.4 \\ \hline
**p21** & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 & D1: 0–1 & D2: 0.4 & 0.4 \\ \hline
**d [km]** & 200 & 200 & 200 & 200 & 200 & 200 & 200 & D1: 1–1000 \\  & & & & & & & D2: 200 \\ \hline
**b [Mbi/s]** & 50 & 50 & 50 & 50 & 50 & 50 & 50 & D1: 1–200 \\  & & & & & & & & D2: 50 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Input data sets (D1 represents values of input variables for domain 1; D2—domain 2; when not specified, the same values of input variables were applied for both domains). The message processing times by CSCF servers and RACF C1 (**TINV**, **TA**, **Tproc** and **Tresp**; Figures 5-7) affect loads of these network elements. Higher values of these parameters nonlinearly increase mean \(CSD\) and mean \(CDD\) times (similarly to request intensities). When elements of the **TINV** vector are modified in domain 1, the CPP parameters for all scenarios in which messages are exchanged in this domain are affected (scenarios b1, d1, f1 and f2). Changes in the message processing times (**TA**, **Tproc** and **Tresp**) of RACF C1 influence only mean \(CSD\) and mean \(CDD\) times for call scenarios with resource reservation in the MPLS core network of operator 1 (scenarios d1, f1 and f2).