GoDeep: Intelligent IoV Service Deployment and Execution with Privacy Preservation in Cloud-edge Computing

Abstract

With the powerful computing capability, cloud computing (CC) is employed to accommodate services execution for the Internet of vehicles (IoV), but the long-distance communication of CC often brings high latency. Considering the shortcomings of CC, edge computing (EC) shifts service execution to the edge, which decreases the execution delay. Due to the storage and computing resource limits of edge servers (ESs), how to dynamically deploy partial services to the edge is still a puzzle. Moreover, the single resource-constrained ES is more vulnerable to attacks, which increases the leakage risk of vehicle privacy. In this article, a method for intelligent IoV service deployment and execution with privacy preservation in cloud-edge computing, named GoDeep, is proposed. Specifically, homomorphic encryption is adopted to construct a privacy-aware mechanism for IoV service execution. Besides, a service deployment scheme based on deep deterministic policy gradient (DDPG) is proposed. Eventually, the performance of GoDeep is evaluated by the simulation experiments.