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Attaining extremely low latency service in 5G cellular networks is an important challenge in the communication research field. A higher Quality of Service (QoS) in the next-generation network could enable several unprecedented services, such as Tactile Internet, Augmented Reality, and Virtual Reality. However, these services will all need support from powerful computational resources provided through cloud computing. Unfortunately, the geolocation of cloud data centers could be insufficient to satisfy the latency aimed for in 5G networks. Driven by these application requirements, there is a big paradigm shift in mobile computing, from cloud computing to edge computing by offloading the computing, application task, and storage to an edge server. Edge computing promises a dramatic reduction in latency by locating servers closer to the devices that will connect to them. This paper discusses the effects of number of end-users and task size on latency and presents quantitative latency evaluations using simulations of the edge architecture that demonstrate storage performance, memory capacity, and CPU utilization.
Zheng et al. (Mon,) studied this question.