# Integrated SDN-NFV 5G Network Performance and Management-Complexity Evaluation
## 4 Evaluation and Result
### Performance Evaluation  
We evaluated the performance of the proposed architecture that integrates SDN and NFV with Cisco ACI (N9K-C9508 as Spine and N9K-C93180 YC-FX as Leaf) and VMware TCI (Inside UCS Hyperflex Server with 10G FO Interface, 512 GB of RAM, and 32 TB SSD Storage). The evaluations were performed as follows. 1. Previously, the throughput capacity generated from traffic communication that led to applications running on virtual machines was deemed less than optimal, because it only utilized the default virtual switch from the logical device platform virtualization. \begin{table}
\begin{tabular}{l c c} \hline \hline
**Parameter** & **SDN Independent** & **SDN with NFV Integration** \\ \hline Number of SDN Controller & 3 & 3 \\ Number of NFV Controller & 0 & 2 \\ VM Controller & 10 & 10 \\ Number of Spine Switch & 2 & 2 \\ Number of Leaf Switch & 4 & 4 \\ Number of Server which monitored & 2 & 2 \\ Monitoring Duration & 30 Days & 30 Days \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Simulation parameter. Therefore, there is an evaluation that will compare how the throughput capacity and latency between data centers that only use SDN, with data centers that combine SDN and NFV for communication from outside to VM, or vice versa. 2. For this performance evaluation scenario, we used Cacti [34]. The parameters that will be compared are the inbound and outbound throughput capacity of the interface, that provides communication on virtualization-based service applications and their latency. This test was carried out for 30 consecutive days (including weekends) so that the comparison of the data can be seen more clearly with the previous one, and was carried out at 18:00-21:00 when data traffic was heavy (peak hours). 3. In this test, the network function that will be used as a testing tool is a virtual switch (VMware NSX as part of the VMware TCI) that is installed on the server to redirect cache traffic to applications accessed by customers. Figure 11 shows the test topology, which is used to measures the throughput and latency from the implemented solution, where the monitoring server is placed in the DMZ block. The server installed Cacti as a monitoring tool, and Cacti was reachable by the server leaf and border leaf switch. Two interfaces are used as points of monitoring: interfaces to servers that have installed network function virtualization, servers with virtualized computing inside, and interfaces that face the Internet. The servers-facing interface is on the server leaf switch and the internet-facing interface is on a border leaf switch. We compared the legacy architecture with the proposed architecture by calculating the average throughput and latency. We monitored the 10 selected interfaces on the leaf switch in the following manner:  
1. 3 interface in 2 server leaf switch which leads to monitored server. 2. 2 interface in border leaf switch which leads to Internet or subscribers. From the data that we collected for 30 days during the monitoring period before migration (legacy) and 30 days after implementation of the proposed architecture, we averaged per prime hour (18:00-21:00). Every hour, for example, at 18:00 we collected data from the interfaces that were selected for data collection which will be calculated later. The calculation is performed by calculating the average throughput at a certain hour: for example, we will calculate the average throughput and latency before migration at 18:00 on the leaf server, and we will calculate the average throughput and latency after migration at 19:00 on the border leaves. Finally, we obtained the average of each section, for example, the server leaf at 18:00 or border leaf at 19:00 inbound or outbound to be compared to determine whether this integration and modification improves the performance of the data center network. 1. [label=()]
2. Throughput
3. The data displayed in the graphs in Figures 12 and 13 show that there is an increase in the throughput trend in both the input and output rates of traffic on the leaf switch server.