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Table 1 Compared algorithms

From: Multi-objective enhanced particle swarm optimization in virtual network embedding

Notation Algorithm description
MO-NPSO The approach of multi-objective and meta-heuristic VNE which based on particle swarm optimization, aiming at both maximizing the revenues and minimizing the energy consumption. It adopts the adaptive weighted strategy.
EA-PSO An energy-aware VN embedding algorithm proposed in our previous work [14]. It is also based on particle swarm optimization.
D-ViNE-SP The single-objective VN embedding algorithm proposed in [12], aiming at maximizing the revenues by optimizing the resource cost. Take the shortest path algorithm to determine the link mapping solution after node mapping stage.