A Survey on Mobile Edge Computing Infrastructure: Design, Resource Management, and Optimization Approaches

Emerging 5G cellular networks are expected to face a dramatic increase in the volume of mobile traffic and IoT user requests due to the massive growth in mobile devices and the emergence of new compute-intensive applications. Running high-intensive compute applications on resource-constrained mobile devices has recently become a major concern, given the constraints of finite computation and limited storage capacities. Mobile Edge Computing (MEC) has recently become the key technology to overcome these issues by providing cloud computing capabilities and placing IT infrastructures at the mobile network edge. In this survey, we present a list of relevant research papers for the MEC infrastructure implementation phases, including (1) MEC infrastructure designing and dimensioning, (2) MEC infrastructure virtualization using Network Function Virtualization (NFV) concept, and the use of virtualized service placement and auto-scaling methods to deploy an agile system framework, (3) MEC resource management frameworks, and (4) approaches used to optimize the MEC resources on the physical infrastructure. The main focus of this survey is to determine the required aspects to implement an auto-scaled and proactive MEC-NFV infrastructure to support a dynamic and heterogenous mobile users' demand at mobile network operators.

Automated summary

5G networks are expected to face a significant increase in traffic and user requests, leading to concerns about running compute-intensive applications on resource-constrained mobile devices. Mobile Edge Computing (MEC) has emerged as a key technology to address these issues by providing cloud computing capabilities at the edge of mobile networks. This survey presents relevant research papers on MEC infrastructure implementation phases, focusing on designing, virtualization, resource management, and optimization to support dynamic and heterogeneous user demands.