Multi-access Edge Computing (MEC) is an emerging technology that allows to reduce the service latency and traffic congestion and to enable cloud offloading and context awareness. MEC consists in deploying computing devices, called MEC Hosts (MEHs), close to the user. Given the mobility of the user, several problems rise. The first problem is to select a MEH to run the service requested by the user. Another problem is to select the path to steer the traffic from the user to the selected MEH. The paper jointly addresses these two problems. First, the paper proposes a procedure to create a graph that is able to capture both network-layer and application-layer performance. Then, the proposed graph is used to apply the Multi-objective Dijkstra Algorithm (MDA), a technique used for multi-objective optimization problems, in order to find solutions to the addressed problems by simultaneously considering different performance metrics and constraints. To evaluate the performance of MDA, the paper implements a testbed based on AdvantEDGE and Kubernetes to migrate a VideoLAN application between two MEHs. A controller has been realized to integrate MDA with the 5G-MEC system in the testbed. The results show that MDA is able to perform the migration with a limited impact on the network performance and user experience. The lack of migration would instead lead to a severe reduction of the user experience.

Multi-access Edge Computing (MEC) enhances the capabilities of 5G by enabling the computation closer to the end-user for real-time and context-aware services. One of the main challenges of MEC is the migration of the MEC application in the presence of user mobility. MigraMEC is a hybrid testbed that simulates the network scenario and user mobility and emulates the MEC framework by using AdvantEDGE. Moreover, MigraMEC implements two physical MEC Hosts (MEHs) by using an extended version of Kubernetes (K8s). Finally, the MigraMEC controller interacts with both the emulative and experimental environments to ensure an efficient migration of the MEC application. Based on network information, the MigraMEC controller not only enforces the MEH where the MEC application is running but also the Point of Access (PoA) to which the user is connected. In our demonstration, the MEC application is a video streaming service, and the results highlight the need for multiple MEHs and efficient migration to maintain a high user experience.