  Deploying V2X services has become a challenging task. This is mainly due to
the fact that such services have strict latency requirements. To meet these
requirements, one potential solution is adopting mobile edge computing (MEC).
However, this presents new challenges including how to find a cost efficient
placement that meets other requirements such as latency. In this work, the
problem of cost-optimal V2X service placement (CO-VSP) in a distributed
cloud/edge environment is formulated. Additionally, a cost-focused delay-aware
V2X service placement (DA-VSP) heuristic algorithm is proposed. Simulation
results show that both CO-VSP model and DA-VSP algorithm guarantee the QoS
requirements of all such services and illustrates the trade-off between latency
and deployment cost.
