# A Heuristic Fuzzy Based 5G Network Orchestration Framework for Dynamic Virtual Network Embedding
## 5 Simulation Evaluation
### Simulation Results  
#### 5.2.1 Static Provisioning  
In accordance with the static provisioning, it is the presumption that the life time of the requests is considered to be infinite. To put it another way, the PI resources that are embedded within the NR are not made available for release once the process is complete. When determining values for the remaining parameters of physical infrastructure and network request, the ranges that have been provided against them are taken into account. In addition, it is presumed that both NR and physical infrastructure can be segmented as eMBB, uRLLC, and mMTC, respectively. The request to provision in physical infrastructure is sent to the VNF manager in batches consisting of a single type of slice at a time. The strategy that has been proposed ensures that nodes and links are embedded for the NRs that have been requested by optimally allocating the resources of PI slices to NSR slices. This strategy is evaluated by taking into account the number of NSR nodes that fall into a variety of categories, such as 10, 20, and 30, within the context of 100, 200, and 300 nodes that make up the physical infrastructure. * Average Resource Efficiency: Figure 3 depicts the resource efficiency that is achieved under a variety of operational conditions for the system. In terms of the overarching observation regarding resource efficiency and NRs, Figure 3 demonstrates that the resource efficiency of the network decreases as the number of NRs increases, whereas the efficiency improves with the number of nodes in the physical infrastructure. An increased number of nodes in a network will, as demonstrated by the resource efficiency equation, result in a shorter overall length of the shortest route, which in turn will lead to improved resource utilization. Additionally, because of the rise in the number of NRs, it is necessary to provide additional nodes that have adequate CPU capacity and bandwidth. According to Figure 3, the proposed method achieves a \begin{table}
\begin{tabular}{l l l} \hline \hline  & \multicolumn{3}{c}{**Physical Infrastructure**} \\ \hline
**Definitions** & **Descriptions** & **Range** \\ \hline \(N^{PI}\) & Number of physical nodes & 100, 200, 300 \\ \hline \(CPU^{PI}\) & Distribution of CPU capacity for each node in unit & U[20,50] \\ \hline \(BW^{PI}\) & Distribution of bandwidth for each link in unit & U[20,50] \\ \hline \(SA^{PI}\) & Distribution of available security level for each node in in real number & (0–1) \\ \hline \multicolumn{3}{c}{**Network Request**} \\ \hline
**Definitions** & **Descriptions** & **Range** \\ \hline \(T^{NR}\) & Total number of NRs arrived in the time frame & U[5,35] \\ \hline \(N^{NR}\) & Distribution of nodes for each NSR & 20 \\ \hline \(CPU^{NR}\) & Distribution of CPU capacity requirement for each node of a NR & U[5,25] \\ \hline \(BW^{NR}\) & Distribution of bandwidth requirement for each link of a NR & U[5,25] \\ \hline \(SR^{NR}\) & Distribution of required security level for each node in real number & (0–0.5) \\ \hline \(LT^{NR}\) & Time duration of each NR & T[10,35] \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Simulation parameters. resource efficiency of 0.783, 0.765, and 0.753 for NRs 10, 20, and 30, respectively, when applied to an infrastructure with a total of 100 nodes. In addition, the efficiency of the resource improves as the number of nodes increases to 200 and 300, reaching a maximum of 0.8 under 5 NRs for a physical resource that has 300 nodes, as shown in Figure 3.
* Average Acceptance Ratio: NRs ranging from 5 to 35 are used in this investigation with the suggested method for calculating the acceptance ratio. The results obtained after successful execution of the algorithm under a variety of different conditions pertaining to the physical infrastructure are displayed in Figure 4. Despite the fact that the number of physical nodes is growing, the acceptance ratio will decrease as the total number of requests (NR) increases.