Efficient Mobility Management for MEC Orchestration in Vehicular Scenarios

Multi-access Edge Computing (MEC) leverages cloud computing capabilities at the network's edge, giving underpowered devices the ability to offload tasks to more robust edge nodes. This distributed architecture improves latency and enhances bandwidth, which is crucial for edge-deployed applications, particularly in dynamic vehicular environments, where effective orchestration is essential due to continuous vehicle and device mobility. In this paper, we delve into Mobility Management within the MEC environment and introduce a novel architecture that enhances the acquisition and use of mobility data for improved system-level orchestration. With increasing support from the mobility data, different orchestration strategies were established and evaluated, specifically regarding their impact on application resource usage and response time within a simulated vehicular scenario. Results show the importance of precise mobility data in MEC orchestration, emphasising its role in improving network performance and edge resource consumption.