A Virtual Network Function Migration Strategy Based on Resources Utility Maximization

Abstract

With the increase of network traffic, commercial servers where virtual network functions are deployed often take the unbalanced load. To solve this problem, a virtual network function migration strategy based on resource utility maximization was proposed to realize maximal utility of the network resources. Firstly, this paper modeled the problem as a resources utility maximization problem according to different requirements of different virtual network functions for the resources. Secondly, the Upper Confidence Tree algorithm based on maximum value was designed to solve the model. Finally, the simulation results show the effectiveness and reliability of the proposed strategy. The results show that our method can improve the utilization rate of the server resources by about 22%, which is higher than the other method by about 11%.