A Novel Approach to Predictive-Trajectory-Aware Service Migration in Edge Computing

Mobile edge computing (MEC) is a promising technology that enables edge devices to perform previously impossible tasks by providing them with computing power support. In this paper, in order to optimize the resource provisioning and service capability of edge service deployed over IoT nodes, we put forward a novel service migration predictive-trajectory-aware method through using track perception methods (SMP), Enlightening algorithms for determining the migration plans and a migration algorithm that migrate edge services according to user trajectories. In the case study, We conducted a comparison test and the results showed that the SMP has certain advantages in several indicators.