## 2 Relevant Existing Contributions  
The consistent developments that have been realized in the scope of next-generation mobile networks mandate their consideration as a viable solution for the creation of complex energy-efficient infrastructures, which ensure that the data are optimally transmitted between the various IoT physical devices, and the proper microservices. Therefore, it is immediate to infer that there are interesting scientific contributions that are reported in the relevant literature. Thus, the contribution that is reported in [13] is concerned with the evaluation of deployment models for services in 5G networks, where the network functions (NF) are designed and deployed through the consideration of traditional architectures, where the functions are specified in a virtual machine (VM), or through the consideration of serverless architectures, which suggests that the functional features are distributed in containers. Additionally, the effective performance of microservices in Kubernetes is also assessed. The evaluation that is performed also considers the employment of different versions of the HTTP protocol, which are used to implement the service-based interfaces of the 5G services. The authors' results reported here demonstrate certain performance benefits through the utilization of HTTP/3, which sends data using the QUIC transport protocol [14] in scenarios with networks characterized by losses or delay conditions. Nevertheless, deployment in 5G networks must carefully consider aspects that are related to connection tracking mechanisms, which should scale up relative to a high volume of requests. The authors of [15] propose a 5G satellite edge computing framework, which they abbreviate as 5 GsatEC. It aims to reduce the delay and expand the network coverage. This framework consists of embedded hardware platforms and edge computing microservices that should be applied to the design and deployment of satellites. The increased flexibility of the framework relative to complex scenarios should be provided by the consolidation of the resources management at the level of the central processing unit (CPU), graphics processing unit (GPU), and field-programmable gate array (FPGA). They consider three types of services: system services, basic services, and user services. The assessment of the proposed system's performance is conducted using a series of experiments. The reported results show that 5 GsatEC provides a broader coverage than the 5G network. The results that are presented claim that 5 GsatEC provides a lower delay, packet loss rate, and bandwidth consumption relative to the 5G satellite network, which should be expected, in principle. Nevertheless, this suggests that critical microservices-based architecture can be adequately sustained by such an infrastructure. The scientific contribution that is reported in [16] introduces SWEETEN, which is a system that potentially assists the user in operating a 5G network using adequate management tools in a transparent manner to the user. The enrichment of the related functional stack through the addition of high-level management features implies that the users may readily deploy an augmented services stack that includes both network-related operational features and management functions. Thus, the authors present a prototype, which is evaluated using a dynamic Cloud Radio Access Network (C-RAN) [17]. The experimental results they report confirm that SWEETEN can assist users with the easy deployment of complex management solutions. The flexible and open architecture of 5G networks needs to accommodate a variety of services. Consequently, the current open architecture microservices models, which manifest in the scope of 5G and next-generation mobile networks and are launched by the current industry, require establishing the technical standards for the proper integration with the industrial Internet.