曹睿,,
廖皓,
王兆堃
1.重庆邮电大学通信与信息工程学院 重庆 400065
2.重庆邮电大学移动通信技术重点实验室 重庆 400065
基金项目:国家自然科学基金(6157073),重庆市教委科学技术研究项目(KJZD-M201800601)
详细信息
作者简介:唐伦:男,1973年生,教授,博士生导师,研究方向为新一代无线通信网络、异构蜂窝网络、软件定义无线网络等
曹睿:男,1994年生,硕士生,研究方向为5G网络切片中的资源分配、可靠性
廖皓:男,1993年生,硕士生,研究方向为5G网络故障检测、自愈合、机器学习
王兆堃:男,1995年生,硕士生,研究方向为5G网络故障检测、自愈合、机器学习
通讯作者:曹睿 1280139234@qq.com
中图分类号:TN929.5计量
文章访问数:1072
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被引次数:0
出版历程
收稿日期:2019-12-03
修回日期:2020-06-08
网络出版日期:2020-07-11
刊出日期:2020-12-08
Reliable Deployment Algorithm of Service Function Chain Based on Deep Reinforcement Learning
Lun TANG,Rui CAO,,
Hao LIAO,
Zhaokun WANG
1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2. Key Laboratory of Mobile Communication Technology, Chongqing University of Post and Telecommunications, Chongqing 400065, China
Funds:The National Natural Science Foundation of China (61571073), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJZD-M201800601)
摘要
摘要:针对当前关于服务功能链(SFC)的部署问题都未考虑到虚拟网络功能(VNF)的失效重要度,该文提出了基于深度强化学习的SFC可靠部署算法。首先建立VNF和虚拟链路可靠映射模型,为重要的VNF设置高可靠性需求,并通过链路部署长度限制尽可能保证虚拟链路可靠性需求。其次,以负载均衡为资源协调原则,与VNF可靠性联合优化,最终使用深度强化学习得到服务功能链部署策略。另外,提出了基于重要度的节点备份和链路备份策略,用于应对部署过程中VNF/链路可靠性难以满足的情况。仿真结果表明,该文的可靠部署算法在保证可靠性需求的基础上能够有效减少SFC失效损失,同时使虚拟网络更加稳定可靠。
关键词:网络虚拟化/
服务功能链/
可靠性/
深度强化学习
Abstract:In view of the current deployment of the Service Function Chain (SFC), the failure importance of the Virtual Network Function (VNF) is not considered,an SFC reliable deployment algorithm based on deep reinforcement learning is proposed. Firstly, a reliable mapping model of VNF and virtual links is establised, high reliability requirements is set for important VNFs, and the reliability requirements of virtual links is ensured as much as possible through link deployment length restrictions. Secondly, taking load balancing as the resource coordination principle, joint optimization the VNF reliability is jointly optimized. Finally, the deep reinforcement learning is used to get the service function chain deployment strategy. In addition, node backup and link backup strategies based on importance are proposed to deal with situations where VNF/link reliability is difficult to meet during deployment. Simulation results show that the reliable deployment algorithm in this paper can effectively reduce the failure SFC loss on the basis of ensuring the reliability requirements, and at the same time make the virtual network more stable and reliable.
Key words:Network virtualization/
Service Function Chain(SFC)/
Reliability/
Deep reinforcement learning
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