  Edge Computing in 5G and Beyond is a promising solution for ultra-low latency
applications (e.g. Autonomous Vehicle, Augmented Reality, and Remote Surgery),
which have an extraordinarily low tolerance for the delay and require fast data
processing for a very high volume of data. The requirements of delay-sensitive
applications (e.g. Low latency, proximity, and Location/Context-awareness)
cannot be satisfied by Cloud Computing due to the high latency between User
Equipment and Cloud. Nevertheless, Edge Computing in 5G and beyond can promise
an ultra-high-speed caused by placing computation capabilities closer to
endpoint devices, whereas 5G encourages the speed rate that is 200 times faster
than 4G LTE-Advanced. This paper deeply investigates Edge Computing in 5G and
characterizes it based on the requirements of ultra-low latency applications.
As a contribution, we propose a hybrid architecture that takes advantage of
novel and sustainable technologies (e.g. D2D communication, Massive MIMO, SDN,
and NFV) and has major features such as scalability, reliability and ultra-low
latency support. The proposed architecture is evaluated based on an agent-based
simulation that demonstrates it can satisfy requirements and has the ability to
respond to high volume demands with low latency.
