###### Abstract
However, it is not enough to solve the requirements about the low latency service and the cloud computing based network services as in Figure 1. The cloud computing based network service examples are the thin-clients (e.g., Google Chromium OS) [10], the voice user interface intelligent services (e.g., Apple Siri, Google Now and Speech, Amazon Alexa and Echo), the multimedia MMORPG computer games and the interactive virtual and mixed reality services. The commonality of these services is that the user's smartphone or computer equipment is mainly used for input and output with the user and most of the computing processing is done on the servers of the network. Therefore, the communication delay in the network must be very small and a network structure in which the user's service can be dynamically driven at a desired place flexibly in order to allow users to freely use such a service anytime and anywhere. Recently, research on MEC (Mobile Edge Computing) has been actively started for such a network [11]. This should be viewed as a resource for cloud computing and to ensure that the user's services are running smoothly. Therefore, the network service software should be located dynamically to the location closest to the user and the transport layer of the network should also be capable of ultra-low latency. This makes it possible for users to experience the same processing as if they were using their network-based services. Thus, we deal with the virtualized network function orchestration of cloud computing-based network services in mobile networks. We propose a new architecture which enables the flexible network service deployment and orchestration over the future mobile network like Beyond 4G and 5G mobile work. And, to evaluate the proposed architecture, we deploy a real cloud computing based QR code recognition application. Thus, we design and implement the new architecture and network applications in a real testbed system and proved the feasibility and performant of the proposed architecture. Especially, in consideration of the cost of 5G network settings, this paper discusses using low-cost equipment for virtualization in a network orchestration system to reduce CAPEX and OPEX further based on requirements. Short description about the real system testbed, tree and mesh networking technology for wireless network connections between the network and Docker, which is a light-weight open-source virtualization technology, is used [12]. The mobile network is traditionally tree-based hierarchical network in both access and core network but as the millimeter wave (mmWave) technologies are used in 5G mobile networks, radio cell size is relatively smaller than conventional 3G/4G networks. Thus, mobile backhaul should be used to connect adjacent mmWave base-stations to reduce the wired backhaul CAPEX/OPEX. Thus, we consider mesh-network topology also for our contribution and a real testbed construction. In a real testbed system, by using the technologies mentioned above,a virtualized network function orchestration system for 5G mobile access networks is designed and implemented. The proposed system can be built with general hardware and open-source software based on virtualization technology and can provide high availability by providing seamless network function. Thereby, we can achieve network infrastructure with much lower cost and quickly adopt network/user service. Furthermore, through low adoption/development cost, we can activate network building in developing countries and provide computing environments more widely. Furthermore, by selecting the open hardware and software platform--Raspberry Pi, as the network device for the proposed system's evaluation, we enable system composition at low cost [13]. Moreover, the necessary characteristics for a virtualized network function orchestration system for 5G mobile access environments are defined and verified by establishing a system that can satisfy this need.