Dynamic Virtual Network Embedding of Mobile Cloud System Based on Global Resources in Internet of Vehicles

Abstract

The Internet of Vehicles (IoV) has a typical Internet of things architecture, which is the specific application of Internet of things (IoT) technology in the field of intelligent transportation. Virtual network embedding (VNE) is the effective allocation of physical network resources to the virtual network, and is a virtualization technology widely used in the data center of the IoV. The existing VNE algorithm ignores the attributes of the network itself. It only allocates resources according to the order in which the requests arrive, resulting in the problem of low utilization of physical resources. In this paper, we propose an efficient topology control scheme for mobile nodes in IoVs. We firstly present a novel hierarchy-based dynamic VNE model for IoV. Then a VNE algorithm based on hierarchical priority is established by considering the attributes of virtual network requests. Finally, a global resource capacity based dynamic VNE algorithm is designed. Compared with precious VNE algorithms, the proposed algorithm has a 19 percent to 23 percent increase in the resource utilization rate of nodes, and elevates the overall request acceptance rate and revenue overhead, and can reduce the average waiting time of virtual network requests.