An Adaptive Energy-aware Virtual Network Embedding Scheme

Through virtualization, networks can be managed efficiently and securely. Energy-efficiency is one of the main challenges in networking environment. In this paper, an Adaptive Energy-aware Virtual Network Embedding Scheme (AE-VNE) based on traffic fitting is proposed to reduce the energy consumption of core nodes and links in network virtualization framework. An adaptive method to choose suitable VNE algorithm for different situation is devised with assistance of traffic fitting. An energy-aware virtual network embedding algorithm is proposed for energy conservation and QoS constraints simultaneously. The simulation results prove that our scheme can save up to 82% energy consumption without impacting on most embedding quality metrics.