网络功能虚拟化环境中大规模资源状态监测策略

海梅生; 伊鹏; 江逸茗; 谢记超

doi:10.11959/j.issn.2096-109x.2019061

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网络功能虚拟化环境中大规模资源状态监测策略

学术论文 | 更新时间：2024-06-03

- 网络功能虚拟化环境中大规模资源状态监测策略
- Large-scale resource state monitoring strategy in network function virtualization environment
- 网络与信息安全学报 2019年5卷第6期页码：42-49
- 作者机构：
- 作者简介：
  
  [ "海梅生（1989- ），男，山西万荣人，硕士，主要研究方向为新型网络体系结构和网络安全" ]
  [ "伊鹏（1977- ），男，湖北黄冈人，博士，国家数字交换系统工程技术研究中心研究员、博士生导师，主要研究方向为新型网络体系结构和网络安全。" ]
  [ "江逸茗（1984- ），男，河南郑州人，博士，国家数字交换系统工程技术研究中心讲师，主要研究方向为新型网络体系结构和网络虚拟化。" ]
  [ "谢记超（1994- ），男，河北石家庄人，硕士，主要研究方向为新型网络体系结构和网络虚拟化。" ]
- 基金信息：
  
  国家重点研发计划基金资助项目;The National Key Research and Development Program of China(2018YFB080400);国家自然科学基金创新研究群体基金资助项目;The Foundation for Innovative Research Groups of the National Natural Science Foundation of China(61521003);国家自然科学基金资助项目;The National Natural Science Foundation of China(61572519)
- DOI：10.11959/j.issn.2096-109x.2019061
  中图分类号： TP393
- 网络首发：2019-12，
  
  纸质出版：2019-12-15
- 稿件说明：
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海梅生, 伊鹏, 江逸茗, 等. 网络功能虚拟化环境中大规模资源状态监测策略[J]. 网络与信息安全学报, 2019,5(6):42-49.

Meisheng HAI, Peng YI, Yiming JIANG, et al. Large-scale resource state monitoring strategy in network function virtualization environment[J]. Chinese Journal of Network and Information Security, 2019, 5(6): 42-49.
海梅生, 伊鹏, 江逸茗, 等. 网络功能虚拟化环境中大规模资源状态监测策略[J]. 网络与信息安全学报, 2019,5(6):42-49. DOI： 10.11959/j.issn.2096-109x.2019061.

Meisheng HAI, Peng YI, Yiming JIANG, et al. Large-scale resource state monitoring strategy in network function virtualization environment[J]. Chinese Journal of Network and Information Security, 2019, 5(6): 42-49. DOI： 10.11959/j.issn.2096-109x.2019061.

摘要

在网络功能虚拟化（NFV）环境中，为了提高网络中基础设施资源利用率，高效动态部署服务功能链，编排管理域需要对网络中底层资源及虚拟网络功能状态进行实时监测，但实时监测会产生大量通信开销。提出了网络通信开销最小化的智能分布式监测策略，通过改进的标签传播算法智能划分子网并选择代理监测节点，实现了对资源和虚拟功能状态的高效监测，并使监测信息通信开销最小。仿真结果表明，所提监测策略使网络中监测信息通信开销降低约13%。图4 不同算法下子网节点数量方差图

Abstract

In order to improve the utilization of the infrastructure resource and efficiently deploy the service function chain dynamically in network function virtualization

the orchestration management domain needs to monitor the network resources and virtual network function status in real time

but real-time monitoring will bring large communication overhead.An intelligent distributed monitoring strategy with minimal network communication overhead was proposed.The improved label propagation algorithm intelligently subnets and selects agent monitoring nodes to achieve efficient monitoring of resource and virtual function status and minimize monitoring information communication overhead.The simulation results show that the monitoring strategy proposed reduces the monitoring information communication overhead in the network by about 13%.

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