通信学报2018，Vol.39Issue(1)：90-100,11.DOI:10.11959/j.issn.1000-436x.2018002
基于强化学习的服务链映射算法
Service chain mapping algorithm based on reinforcement learning
摘要
Abstract
A service chain resource scheduling architecture of multi-agent based on artificial intelligence technology was proposed.Meanwhile,a service chain mapping algorithm based on reinforcement learning was designed.Through the Q-learning mechanism,the location of each virtual network element in the service chain was determined according to the system status and the reward and punishment feedback after the deployment.The experimental results show that compared with the classical algorithms,the algorithm effectively reduces the average transmission delay of the service and improves the load balance of the system.关键词
网络功能虚拟化/人工智能/服务链/强化学习Key words
network function virtualization/artificial intelligence/service chain/reinforcement learning分类
信息技术与安全科学引用本文复制引用
魏亮,黄韬,张娇,王泽南,刘江,刘韵洁..基于强化学习的服务链映射算法[J].通信学报,2018,39(1):90-100,11.基金项目
国家高技术研究发展计划(“863”计划)基金资助项目(No.2015AA016101) （“863”计划）
国家自然科学基金资助项目(No.61501042) （No.61501042）
北京科技新星基金资助项目(No.Z151100000315078)The National High Technology Research and Development Program of China (863 Program) (No.2015AA016101),The National Natural Science Foundation of China (No.61501042),Beijing New-Star Plan of Science and Technology (No.Z151100000315078) （No.Z151100000315078）
