# Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking
## 4 Simulation Results
Figure 27 also provides information about the average time of group maintenance (sensitive and not sensitive) and the gain from the previous active method. Since we have not yet switched these methods, here is information about the current time of service. We activated the proposed method starting with 223 iterations of the network (model time) by clicking the button in the simulation model \"Activate\". Now, we consider the same graphs again. Figure 28 depicts the customer's QoS experience in the network with the active proposed method. According to Figure 28, with the new method, we significantly improve the quality for sessions with higher ratings. Therefore, the quality of service sessions has improved for customers:  
* With an estimate of \"QoE 5\" in 4.99 times;
* With an estimate of \"QoE 4\" in 2.33 times;
* With an estimate of \"QoE 3\" in 1.14 times. However, the law of preservation must be kept--when we improve the quality of service of certain services, we worsen the quality of service of other services. Accordingly, the quality worsens for sessions:  
* With an estimate of \"QoE 2\" in 0.34 times;
* With an estimate of \"QoE 1\" in 0.23 times. The basic idea is that for customers using services with estimates of \"QoE 1\" and \"QoE 2\", a very low payment is set. Customers do not need the best quality and agree that their sessions may have a long delay and re-send. They need to obtain the desired, regardless of quality. Optionally, for customers who need the best service (such as a planned business conversation or videoconference, a comfortable game in online games, and others), higher grades are offered. For them, the payment goes to the background, the main--the quality of this session. The gain shown in Figure 28 is confirmed by the results of service ratings, as shown in Figures 29 and 30, respectively. According to the circular diagrams, almost all sessions with an estimate of \"QoE 5\" received good quality of service. Service quality has also improved for ratings of \"QoE 4\" and \"QoE 3\". Changes in quality of services can be seen in Figure 29, which clearly shows improving QoE for customers. Accordingly, the average time of service has also changed. This result is shown in Figure 19:5  
From Figure 30, changes are noticeable in the transition from the traditional method of service to the proposed. The average waiting time for each service has changed relative to the previously  
Figure 19:6 The average waiting time for each session with corresponding QoE score using the traditional method. submitted improvement. For grades of \"5\", \"4\", and \"3\", it has decreased. For grades \"1\" and \"2\", it increased. Now, service packets are not chaotic. In this mode, the network can provide appropriate service for high grades. For sensitive sessions, we have improved service by 1.79 times. However, for insensitive traffic, we have worsened by 0.73 times. The \"TCP/UDP\" tab shows the average service time for services that use two types of transport protocols--TCP and UDP. Figure 31 shows the average waiting time when using the traditional packet service method in the network. In Figure 32--using the proposed method. Figure 19:7 The average waiting time for each session with corresponding QoE score using the proposed method. Figure 19:8 The average waiting time for TCP/UDP (Transmission Control Protocol, User Datagram Protocol) services using the traditional method. When switching from the traditional method of service to the proposed, we see a change in the average waiting time. The average waiting time for a session that uses a TCP transport protocol is increasing. The average waiting time for a session that uses a UDP transport protocol is decreasing. The main idea of such changes is that TCP traffic may have a greater time to send, and in the case of dropping packets, they will be re-sent. However, UDP traffic is sensitive to delays and is not retransmitted when discarded.