  As the fog-based internet of vehicles (IoV) is equipped with rich perception,
computing, communication and storage resources, it provides a new solution for
the bulk data processing. However, the impact caused by the mobility of
vehicles brings a challenge to the content scheduling and resource allocation
of content dissemination service. In this paper, we propose a time-varying
resource relationship graph to model the intertwined impact of the perception,
computation, communication and storage resources across multiple snapshots on
the content dissemination process of IoV. Based on this graph model, the
content dissemination process is modeled as a mathematical optimization
problem, where the quality of service of both delay tolerant and delay
sensitive services are considered. Owing to its NP-completeness, the
optimization problem is decomposed into a joint link and subchannel scheduling
subproblem and as well a joint power and flow control subproblem. Then, a
cascaded low complexity scheduling algorithm is proposed for the joint link and
subchannel scheduling subproblem. Moreover, a robust resource management
algorithm is developed for the power and flow control subproblem, where the
channel uncertainties in future snapshots are fully considered in the
algorithm. Finally, we conduct simulations to show that the effectiveness of
the proposed approaches outperforms other state-of-art approaches.
