Deployment strategy of resource optimized service function chain in NFV environment
Xiaoxiao Chen, Jiugen Shi, Yong He, Wenhao Li · 2022
With the development of the new generation mobile communication technology, the application of network function virtualization (NFV) technology has become a boom. With NFV, virtual network functions (VNFs) are deployed in the form of service function chain (SFC), so how to place VNFs in the best position has become a challenge. This paper studies this challenge to maximize resource utilization and minimize energy cost. Specifically, a two-stage deployment strategy (TSBA) is designed. Firstly, a matching algorithm (MA) based on weighted graph matching is proposed to improve resource utilization. Then the idle server is shut down by VNF migration method to reduce the cost of server energy consumption. The experimental results show that the two-stage deployment strategy proposed in this paper effectively improves the resource utilization and reduces the energy consumption compared with the existing methods.