ABSTRACT Vehicular network aims at providing intelligent transportation and ubiquitous network access. Edge computing is able to reduce the consumption of core network bandwidth and serving latency by processing the generated data at the network edge, and social network is able to provide precise services by analyzing user's personal behaviors. In this paper, we propose a new network system referred to as vehicular social edge computing (VSEC) that inherits the advantages of both edge computing and social network. VSEC is capable of improving the drivers' quality of experience while enhancing the service providers' quality of service. In order to further improve the performance of VSEC, the network utility is modeled and maximized by optimally managing the available network resources via two steps. First, the total processing time is minimized to achieve the optimal payment of the user to each edge device for each kind of the required resource. Second, a utility model is proposed, and the available resources are optimally allocated based on the results from the first step. The two optimization problems are solved by the Lagrangian theory, and the closed-form expressions are obtained. Numerical simulations show different capacities in different scenarios, which may provide some useful insights for VSEC design. INDEX TERMS Edge computing, network utility, social activity, vehicular network.
Lin et al. REF proposed a vehicular social edge computing architecture, which inherits the advantages of both edge computing and social network.
A Novel Utility Based Resource Management Scheme in Vehicular Social Edge Computing
IEEE Access
IEEE Access
Computer Science