Overall Internet Protocol (IP) traffic is expected to grow to 396 Exabyte per month by 2022, as a result of the demands of new applications such as Cloud, Internet of Things (IoT) and the expected arrival of fifth generation mobile networks (5G). In particular, mobile networks contribute most to this predicted increase in traffic and have a heavy burden on technological developments. Most of this traffic will be local with a significant burden on the access network and the metropolitan and less to the backbone network. Thus, focusing on the corresponding traffic, produced by 5G applications running in the core network, the need for data analysis and performance estimation becomes essential, in order to enhance the Validation and Verification (V&V) of different Network Services (NS) across heterogeneous platforms. In this paper, we are focusing on the analysis of the deployed NSs’ produced monitoring data, over a Software Defined Network (SDN). Furthermore, we propose an approach where the service developers would benefit from all the essentials in order to understand the service’s behavior, and optimize the V&V tests, prior to the production