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Discrete particle swarm optimization based multi-objective service path constructing algorithm
Authors:Ding MA  Lei ZHUANG  Ju-long LAN
Affiliation:1. School of Information and Engineering,Zhengzhou University,Zhengzhou 450001,China;2. College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China;3. China National Digital Switching System Engineering &Technological Research Center,Zhengzhou 450002,China
Abstract:Aiming at previous research primarily focused on constructing service paths with a single objective,for exam-ple,latency minimization,cost minimization or load balance,which ignored the overall performance of constructed ser-vice paths,a multi-objective service path constructing algorithm based on discrete particle swarm optimization (MOPSO) was proposed.To promote the convergence rate and improve constructing performance,the criterions for selecting can-didate physical nodes and paths were explored,and a particle position initialization and update strategy (PIFC) was de-signed.Simulation experiments show that the proposed algorithms can improve the overall quality of service paths and increase the success rate and long-term average revenue.
Keywords:network function virtualization  service chain  service path  multi-objective  particle swarm optimization  
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