Table 1 A state of art.

From: Multi-dimensional flux balance analysis to optimized resources and energy efficiency in MEC aided 5G networks

References

Network

Problem

Technique used

Resource Allocation

Task Splitting

Parameter Analysed

Energy consumption

Latency

Energy Consumption

Latency

CPU Utilization

4

MECD2D

 

√

Stochastic

learning

 

√

 

√

 

15

MECD2D

√

√

Lyapunov optimization

√

 

√

√

 

19

MECD2D

 

√

Nash equilibrium

 

√

 

√

 

29

MECD2D

√

 

Nash equilibrium

 

√

√

  

30

MECD2D

√

 

Multi-objective bat algorithm

 

√

√

  

32

MECD2D

 

√

Urgency-Value Based Transmission Scheduling

√

√

 

√

 

33

MECD2D

√

√

Price elasticity log-log model

 

√

√

√

 

34

MECD2D

 

√

NOVA Algorithm

√

  

√

 

18

MECD2D

 

√

Multiseller-Multibuyer double auction

mechanism

√

√

 

√

 

38

D2D

√

 

Meta-heuristic algorithm

√

 

√

√

 

39

D2D

√

 

Particle swarm optimization

√

 

√

  

40

MECD2D

√

 

Lyapunov optimization

√

 

√

  

41

MECD2D

√

√

Deep

reinforcement learning

√

√

 

√

 

Proposed

MECD2D

√

√

Q-Learning

√

√

√

√

√