  Fixed edge processing has become a key feature of 5G networks, while playing
a key role in reducing latency, improving energy efficiency and introducing
flexible compute resource utilization on-demand with added cost savings.
Autonomous vehicles are expected to possess significantly more on-board
processing capabilities and with improved connectivity. Vehicles continue to be
used for a fraction of the day, and as such there is a potential to increase
processing capacity by utilizing these resources while vehicles are in
short-term and long-term car parks, in roads and at road intersections. Such
car parks and road segments can be transformed, through 6G networks, into
vehicular fog clusters, or Fogbanks, that can provide processing, storage and
sensing capabilities, making use of underutilized vehicular resources. We
introduce the Fogbanks concept, outline current research efforts underway in
vehicular clouds, and suggest promising directions for 6G in a world where
autonomous driving will become commonplace. Moreover, we study the processing
allocation problem in cloud-based Fogbank architecture. We solve this problem
using Mixed Integer Programming (MILP) to minimize the total power consumption
of the proposed architecture, taking into account two allocation strategies,
single allocation of tasks and distributed allocation. Finally, we describe
additional future directions needed to establish reliability, security,
virtualisation, energy efficiency, business models and standardization.
