  In this emerging world of connected devices, the need for more computing
devices with a focus on delay-sensitive application is critical. In this paper,
we propose a priority-queue based Fog computing architecture combined with
dynamic scalability of fog devices, which not only reduces the delay
experienced by delay-sensitive tasks by categorizing the delay-sensitive and
delay-insensitive tasks, but also dynamically allocates the fog devices within
the network depending upon the computation load for reducing the power
consumption. The results show that the proposed algorithm is able to achieve a
significantly lower delay for both delay-sensitive and -insensitive tasks when
compared with other related schemes with a 14.5% lower power consumption.
