Cost-optimal V2X Service Placement in Distributed Cloud/Edge Environment

• Published in: 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) pp. 1 - 6
• Main Authors: Moubayed, Abdallah, Shami, Abdallah, Heidari, Parisa, Larabi, Adel, Brunner, Richard
• Format: Conference Proceeding
• Language: English
• Published: IEEE 12-10-2020
• Subjects: Cloud computing; Computational modeling; Delays; Heuristic algorithms; Intelligent Transportation Systems (ITS); Mobile computing; Multi-Access Edge Computing (MEC); V2X Service Placement; V2X Services; Vehicle-to-everything; Wireless communication
• ISSN: 2160-4894
• DOI: 10.1109/WiMob50308.2020.9253437

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.