Lotka-Volterra model based virtual network resource allocation for improving revenue-cost ratio

Network virtualization has been pushed forward as an important potential solution to the gradual ossification problem faced by the existing Internet, allowing multiple heterogeneous network architectures to cohabit on a shared physical network. Efficient allocating the sacred physical resources among multiple virtual networks requests is a major challenge. Current resource allocation studies mainly focus on developing mapping algorithm with the model of one physical network and one virtual network. In this paper, we introduce a Lotka-Volterra model based resource allocation algorithm, consisting of multiple virtual networks. We apply the Lotka-Volterra model, which is a mathematical population model of bio-inspired species competition approach, to implement distributing resources for virtual networks. And Simulation results show that the proposed algorithm enhances the performance of the revenue-cost ratio and revenue of the embedding problem.