uded in the cost of the OXC platform. Telecommunication Networks TABLE 8.13 Maximum Percentage of Traffic That Can Belong to a Specified QoS Class in the Example Discussed in This Section Mission critical High reliability Standard Best effort Low priority (in addition to 100%) To show an example of OXC merging, let us image that in a certain node we have the following OXCs: Virtual network 2: Number of out/in wavelength ports 22, platform 1 Virtual network 3: Number of out/in wavelength ports 12, platform 1 Final OXC design: Total number of ports 32, 1 platform (a second platform has to be eliminated) Step 5: LSR synthesis. The LSR occupying the same topological position in each virtual network are analyzed by merging them SO to minimize traffic. The opera- tion is similar to that performed for OXC, but with no exceptions. Step 6: Network synthesis. The fibers cannot be merged due to the limitations we have underlined previously, SO this step only consists of putting all the network information into a single data base. Step 7: Low-priority traffic is routed. It is to be noted that no further capacity is deployed and if the present back-up capacity is not sufficient to route a low prior- ity traffic request, it is rejected by the network. As in the other cases, after dimensioning a simulation is performed, where all the classes of service are present as foreseen by the network design. In the example whose results are reported in this section the mix of different LSR is reported in Table 8.13. The result of the design and simulation is summarized in Figure 8.27 where the effi- ciency (indicating the CAPEX cost of the survivability) is related to the average availability of the selected types of LSR. -log10(1-A) FIGURE 8.27 The efficiency (related to the CAPEX cost of the surviv- ability) is related to the availability of the selected types of LSR for different types of Service Class (SC). Survivability technique efficiency Convergent Network Management and Control Plane Looking at this figure a further efficiency r