The past decade has witnessed the widespread adoption of Cloud Computing (CC) across
automotive industries for a myriad of vehicular applications. A vehicular network that solely
relies on CC, however, is susceptible to end-to-end latency due to the round-trip between
data sources and cloud servers. Alternatively, the computing capability has been considered
at the edge of vehicular network to achieve real-time analytics. Despite that, such
consideration poses new questions on how data is offloaded and cached among the edge …