Vehicular cloud computing is a new approach to solving challenges in mobile ad hoc communication. Can giving vehicles better access to the Internet, and thereby the cloud, improve dynamic collaboration and routing over previous attempts? This paper introduces many new terminologies and technologies and suggests that a content-based networking model offers the best path over Internet protocol (IP)-based end-to-end connections. In this model, mobile cloud computing (MCC) and vehicular ad hoc networks (VANETs) are supported via content-centric networking (CCN). The semantics in the applications and the affinity of shared interests are then managed by the cloud, while network pruning is accomplished with approaches such as multi-attribute decision making (MADM).

The paper describes how this content overlay is treated like a directed graph that represents the spectral characteristics of the application. The authors discuss reducing the complexity of that semantic graph through dimensionality reduction and simulate this as the basis for scaling the routing solutions. Unlike the lower-level IP-based networking, CCN disseminates and forwards data at the content semantic layer, which is represented by many semantic dimensions shared by other networked vehicles and operates above the IP source and destination address approach.

A fresh new perspective on a known and obviously very timely mobile computing problem is provided in this paper. Many well-known critical scaling and routing efficiencies could be better studied with the proposed approach, especially given the way it deals with rapidly changing semantic interests and content (vehicular) affinity. With high intermittent connectivity, it would be good to study the impact on network and cloud computing and the associated latency as dynamic content graphs are constantly recreated and then repruned through dimensional tree reduction.