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

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-tim...

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Main Authors: Meisheng HAI, Peng YI, Yiming JIANG, Jichao XIE
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2019-12-01
Series:网络与信息安全学报
Subjects:
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019061
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author Meisheng HAI
Peng YI
Yiming JIANG
Jichao XIE
author_facet Meisheng HAI
Peng YI
Yiming JIANG
Jichao XIE
author_sort Meisheng HAI
collection DOAJ
description 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%.
format Article
id doaj-art-521d54b15ade4e259e298b68818f0a07
institution Kabale University
issn 2096-109X
language English
publishDate 2019-12-01
publisher POSTS&TELECOM PRESS Co., LTD
record_format Article
series 网络与信息安全学报
spelling doaj-art-521d54b15ade4e259e298b68818f0a072025-01-15T03:13:46ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2019-12-015424959556864Large-scale resource state monitoring strategy in network function virtualization environmentMeisheng HAIPeng YIYiming JIANGJichao XIEIn 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%.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019061network function virtualizationmonitoringcommunication overheadagent node
spellingShingle Meisheng HAI
Peng YI
Yiming JIANG
Jichao XIE
Large-scale resource state monitoring strategy in network function virtualization environment
网络与信息安全学报
network function virtualization
monitoring
communication overhead
agent node
title Large-scale resource state monitoring strategy in network function virtualization environment
title_full Large-scale resource state monitoring strategy in network function virtualization environment
title_fullStr Large-scale resource state monitoring strategy in network function virtualization environment
title_full_unstemmed Large-scale resource state monitoring strategy in network function virtualization environment
title_short Large-scale resource state monitoring strategy in network function virtualization environment
title_sort large scale resource state monitoring strategy in network function virtualization environment
topic network function virtualization
monitoring
communication overhead
agent node
url http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019061
work_keys_str_mv AT meishenghai largescaleresourcestatemonitoringstrategyinnetworkfunctionvirtualizationenvironment
AT pengyi largescaleresourcestatemonitoringstrategyinnetworkfunctionvirtualizationenvironment
AT yimingjiang largescaleresourcestatemonitoringstrategyinnetworkfunctionvirtualizationenvironment
AT jichaoxie largescaleresourcestatemonitoringstrategyinnetworkfunctionvirtualizationenvironment