  In this paper, we study and present a management and orchestration framework
for vehicular communications, which enables service continuity for the vehicle
via an optimized application-context relocation approach. To optimize the
transfer of the application-context for Connected and Automated Mobility (CAM)
services, our MEC orchestrator performs prediction of resource availability in
the edge infrastructure based on the Long Short-Term Memory (LSTM) model, and
it makes a final decision on relocation by calculating the outcome of a
Multi-Criteria Decision-Making (MCDM) algorithm, taking into account the i)
resource prediction, ii) latency and bandwidth on the communication links, and
iii) geographical locations of the vehicle and edge hosts in the network
infrastructure. Furthermore, we have built a proof-of-concept for the
orchestration framework in a real-life distributed testbed environment, to
showcase the efficiency in optimizing the edge host selection and application
context relocation towards achieving continuity of a service that informs
vehicle about the driving conditions on the road.
