A PBIL for Delay Constrained Virtual Network Function Placement With Load Balancing

摘要：

　　This paper investigates the virtual network function placement(VNF-P)problem in network function virtu-alization(NFV),with load balancing and delay issues considered.In this problem,utilization of server and link resources is jointly minimized for load balancing purpose while end-to-end delay is constrained for better user experience.An integer-encoding population based incremental learning algorithm(IEPBIL)is presented to tackle the problem above,where an elitism preservation scheme and a mutation operation are devised.Simula-tion results show that IEPBIL outperforms a number of evolutionary and heuristic algorithms in terms of the success rate for placing virtual network functions.

作者: Huanlai Xing Song Li Penglin Dai Shouxi Luo Ke Li and Hui Yang

作者单位: Southwest Jiaotong University Chengdu 611756,P.R.China

会议类型: 国际会议

会议名称: 2019国图灵大会(ACM Turing Celebration conference-China 2019 )

会议地点: 成都

会议语种:英文

页码: 359-364

在线出版日期: 2019-05-17（万方平台首次上网日期，不代表论文的发表时间）