A Study of a Virtual Network Embedding Algorithm

Currently, energy cost has become an important burden of infrastructure providers in network virtual environment. Therefore, consolidating nodes and links to save energy is an effective method when virtual networks are embedded on substrate network. The traditional embedding method usually considers cost minimization or revenue maximization as its goal. This paper studies the problem of energy consumption, cost and revenue simultaneously and a virtual network embedding model saving energy is proposed. Then, a heuristic algorithm base on group search optimizer is developed. The simulation experiments show that the proposal can effectively reduce energy consumption when a large quantity of virtual networks arrives.