A Survey on Mobile Edge Computing: Focusing on Service Adoption and Provision

Table 1

Summary of abbreviations.

Access Point(s)	AP(s)
Base Stations	BSs
Cloud Computing	CC
Deep Supervised Learning	DSL
Dynamic Voltage Scaling	DVS
Edge Computing	EC
Edge Server(s)	ES(s)
Efficient Computation Offloading	ECO
End-to-End	E2E
Energy-Efficient Computation Offloading	EECO
European Telecommunications Standards Institute	ETSI
Fiber-Wireless	FiWi
Fog Computing	FC
Full Duplex	FD
Green-energy Aware Avatar Placement	GAP
Incentive-compatible Auction Mechanism	ICAM
Integer Linear Programming	ILP
Internet of Things	IoT
Intrusion Detection System	IDS
Iterative Improvement	Π
Markov Decision Process	MDP
Mixed Integer Linear Programming	MILP
Mobile Cloud Computing	MCC
Mobile Data Traffic	MDT
Mobile Data Traffic Offloading	MDTO
Mobile Edge Computing	MEC
Mobile Edge Internet of Things	MEIoT
Mobile Edge Computing-wireless Power Transfer	MEC-WPT
Multiple Knapsack Problem	MKP
Multi-objective Optimization Problem	MOOP
Multi-user Computation Offloading	MUCO
Multi-user Data Offloading	MUDO
Mobile User(s)	MU(s)
Physical Resource Block	PRB
Profit Maximization Avatar Placement	PRIMAL
Quality of Experience	QoE
Quality of Service	QoS
Radio Access Networks	RANs
Radio Access Points	RAPs
Software Defined Networking	SDN
Stochastic Reward Net	SRN
Two-Phase Optimization	TPO
Vehicular Ad Hoc Networks	VANET
Unmanned Aerial Vehicles	UAVs
Vehicular Cyber-physical Systems	VCPSs
Virtual Machine	VM
Wireless Access Point(s)	WAP(s)