# Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking
## 4 Simulation Results
Additionally, here, we need to take into account the average size of packets for each type of service. This shows the statistics collected throughout the network. Then, looking at the \"Packets\" tab, according to the name, the chart for changing the number of served packets in the network is displayed. An example is shown in Figure 24.  
Figure 23: Network traffic. Figure 21: The distribution of network services relative to simulation time. Figure 22: The percentage of QoE (ratings) scores served by the network. Due to this graph, we have information on the number of packets served by this network over the appropriate time interval. The following tabs are considered in conjunction with two methods of service packets on the network. As a result, we can draw conclusions about the effectiveness of the proposed method. The \"Quality of Service Provision\" tab contains information about the results of providing services to customers of the network. Additionally, here, in the lower right corner is shown the gain at times--how many times the new method is better than the traditional. These diagrams are built on the basis of information consumed from customers. Each type of service has its reference delay time for sending packets. When using the division into QoE scores, each service, according to the estimate, indicates the delay time. The higher the QoE score, the less delay there should be for packets during service. Accordingly, the rating \"QoE 1\" will have the highest service time, and the \"QoE 5\" rating is the lowest service time. When constructing diagrams, we take all the received sessions and compare them with the \"reference\" time for the given service and the given estimation. If the time is less than acceptable, the service is provided by the network well, otherwise the service is provided bad. The \"Overall QoS\" tab extends the information from the previous tab. It displays the same information, only not at the moment, but within a certain period of simulation. The maximum value for the charts in this tab is \"1\", the minimum \"0\". The higher the value, the better the ratio of well-served sessions to bad served. The \"Time Service\" tab provides information on the service time for each service and each evaluation of the service. That is, here are seven graphs for each service, each of which is additionally on all served scores. In addition, as in the previous tab, here is shown the gain in times, relative to the previous active method of service packets in the network. To do this, there are two groups of network sessions that are sensitive to delays and insensitive to delays. The first group consists of a UDP transport session with QoE scores 3, 4, and 5, as this type of traffic needs to be served as soon as possible. The other types of sessions are insensitive with QoE scores 1 and 2. First, let us consider the traditional method enabled. The result is shown in Figure 25.  
Figure 19:0 Graph of service packets. From Figure 26, we see that the sessions of the QoE rating \"1\" are best served. With the increase in this assessment, the quality of service is falling. For the highest estimation, the number of sessions that are successfully served by the network is minimal. The quality of the provision at a certain interval is depicted in Figure 19:1  
As expected, the best score has \"QoE 1\", then the quality decreases, and \"QoE 5\" has the worst performance. These results are derived from the fact that in the traditional method, packets are not sorted and processed in accordance with the order in which they came. That is, the network cannot guarantee the appropriate quality of the session service for the selected evaluation. The order of service will be chaotic for the services of different ratings. The average waiting time (end to end delay) for each session with the corresponding QoE score using the traditional method is depicted in Figure 19:2  
Figure 19:3 Customer satisfaction according to QoE ratings using the traditional method. Figure 19:4 Customers QoE in the network with active traditional method.