Large-scale resource state monitoring strategy in network function virtualization environment

Meisheng HAI; Peng YI; Yiming JIANG; Jichao XIE

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

您当前的位置：

首页 >

文章列表页 >

Large-scale resource state monitoring strategy in network function virtualization environment

Papers | 更新时间：2024-06-03

- Large-scale resource state monitoring strategy in network function virtualization environment
- Chinese Journal of Network and Information Security Vol. 5, Issue 6, Pages: 42-49(2019)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2019061
  CLC： TP393
- Online First：2019-12，
  
  Published：15 December 2019
- 稿件说明：
移动端阅览
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：

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%.

关键词

Keywords

references

SAGUY I S . Challenges and opportunities in food engineering:modeling,virtualization,open innovation and social responsibility [J ] . Journal of Food Engineering , 2016 , 176 : 2 - 8 .

SAHHAF S , TAVERNIER W , CZENTYE J , et al . Scalable architecture for service function chain orchestration [C ] // European Workshop on Software Defined Networks . 2015 : 19 - 24 .

HAN B , GOPALAKRISHNAN V , JI L , et al . Network function virtualization:challenges and opportunities for innovations [J ] . IEEE Communications Magazine , 2015 , 53 ( 2 ): 90 - 97 .

KANEKO M , OKAMOTO M , FUKUMOTO T . A robust VNF allocation method in NFV [J ] . IEICE Technical Report , 2015 .

HERRERA J G , BOTERO J F . Resource allocation in NFV:a comprehensive survey [M ] . IEEE Press , 2016 .

LI Y , ZHENG F , CHEN M , et al . A unified control and optimization framework for dynamical service chaining in software-defined NFV system [J ] . Wireless Communications IEEE , 2015 , 22 ( 6 ): 15 - 23 .

CAO L , SHARMA P , FAHMY S , et al . NFV-VITAL:a framework for characterizing the performance of virtual network functions [C ] // Network Function Virtualization and Software Defined Network . 2016 : 93 - 99 .

GARDIKIS G , KOUTRASI , MAVROUDIS G , et al . An integrating framework for efficient NFV monitoring [C ] // IEEE Netsoft Conference and Workshops . 2016 .

ROSSEM S V , TAVERNIER W , COLLE D , et al . Automated monitoring and detection of resource-limited NFV-based services [C ] // IEEE Conference on Network Softwarization . 2017 .

CLAYMAN S , CLEGG R , MAMATAS L , et al . Monitoring,aggregation and filtering for efficient management of virtualnetworks [C ] // The 7th International Conferenceon Network and Services Management . 2011 : 234 - 240 .

PFITSCHER R J , SCHEID E J , SANTOS R L D , et al . DReAM - a distributed result-aware monitor for network functions virtualization [C ] // IEEE Symposium on Computers and Communication . 2016 : 663 - 668 .

WANG J , QIU Y , WANG R , et al . Remarks on network community properties [J ] . Journal of Systems Science ＆ Complexity , 2008 , 21 ( 4 ): 637 - 644 .

RAGHAVAN U N , ALBERT R , KUMARA S . Near linear time algorithm to detect community structures in large-scale networks [J ] . Physical Review E Statistical Nonlinear ＆ Soft Matter Physics , 2007 , 76 ( 2 ):036106.

刘邦舟 , 汪斌强 , 王文博 , 等 . 针对大规模软件定义网络的子域划分及控制器部署方法 [J ] . 计算机应用 , 2016 , 36 ( 12 ): 3239 - 3243 .

LIU B Z , WANG B Q , WANG W B , et al . Domain partition and controller placement for large scale software defined network [J ] . Computer Application , 2016 , 36 ( 12 ): 3239 - 3243 .

BYRD R H , HRIBAR M E , NOCEDAL J . An interior point algorithm for large scale nonlinear programming [J ] . SIAM Journal on Optimization , 1999 , 9 ( 4 ).

Views

328

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Design and analysis of intelligent service chain system for network security resource pool

Verification on policies for network functions in SDN/NFV-based environment

Network function heterogeneous redundancy deployment method based on immune algorithm

New collaborative DDoS defense technology based on NFV

Legislative reflection on critical information infrastructure protection in China

Related Author

Dechang PI

Chaohong TAN

Jiahao LI

Zenan WANG

Hai JIN

Deqing ZOU

Haoyu CHEN

Wei YOU

Related Institution

Purple Mountain Laboratories

Nanjing University of Aeronautics and Astronautics

Jiangsu Future Networks Innovation Institute

National Engineering Research Center for Big Data Technology and System, School of Computer Science and Technology, Huazhong University of Science and Technology

Services Computing Technology and System Lab, School of Computer Science and Technology, Huazhong University of Science and Technology

⁰