Virtual Network Function Migration Method Based on Topology and Resource Awareness

In the network function virtualization environment, aiming at the load imbalance of network, a topology and resource-aware virtual network function migration method (TRA-VNFM) is proposed. Firstly, according to the computing, storage and forwarding resource occupancy of the underlying network, the t...

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Autor principal:	YANG Yong, MENG Xiangru, KANG Qiaoyan, HAN Xiaoyang
Formato:	article
Lenguaje:	ZH
Publicado:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021
Materias:	network function virtualization (nfv) virtual network function (vnf) migration load balancing extreme value interaction topology and resource awareness Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/3d1f5e3da3cd44428d40cdc4df216f12
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spelling	oai:doaj.org-article:3d1f5e3da3cd44428d40cdc4df216f122021-11-10T08:20:35ZVirtual Network Function Migration Method Based on Topology and Resource Awareness10.3778/j.issn.1673-9418.20080171673-9418https://doaj.org/article/3d1f5e3da3cd44428d40cdc4df216f122021-11-01T00:00:00Zhttp://fcst.ceaj.org/CN/abstract/abstract2955.shtmlhttps://doaj.org/toc/1673-9418In the network function virtualization environment, aiming at the load imbalance of network, a topology and resource-aware virtual network function migration method (TRA-VNFM) is proposed. Firstly, according to the computing, storage and forwarding resource occupancy of the underlying network, the two-level dynamic threshold is set to classify the overload degree of physical nodes, and at the same time, the corresponding migration judgment conditions are formulated and the set of destination nodes to be migrated is calculated. Among them, high-overload nodes have priority to implement migration and have lower migration success conditions. Secondly, for the virtual network function deployed on the overload node, the resource-aware algorithm is used to set its migration weight.The more overload resources the virtual network function occupies, the larger its migration weight, combining the migration weight and resource demand to select the virtual network function to be migrated. Finally, the topology-aware algorithm of extreme value interaction is used to evaluate the nodes in the migration destination node set, taking the node with the highest evaluation as the migration destination node by considering all kinds of resource occupancy, processing delay and topological properties. Simulation experiments show that compared with the previous virtual network function migration methods, this method not only reduces the migration time, but also has better performance in the average delay of the service function chain, the revenue to expense ratio of network and the degree of load balancing.YANG Yong, MENG Xiangru, KANG Qiaoyan, HAN XiaoyangJournal of Computer Engineering and Applications Beijing Co., Ltd., Science Pressarticlenetwork function virtualization (nfv)virtual network function (vnf) migrationload balancingextreme value interactiontopology and resource awarenessElectronic computers. Computer scienceQA75.5-76.95ZHJisuanji kexue yu tansuo, Vol 15, Iss 11, Pp 2161-2170 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	network function virtualization (nfv) virtual network function (vnf) migration load balancing extreme value interaction topology and resource awareness Electronic computers. Computer science QA75.5-76.95
spellingShingle	network function virtualization (nfv) virtual network function (vnf) migration load balancing extreme value interaction topology and resource awareness Electronic computers. Computer science QA75.5-76.95 YANG Yong, MENG Xiangru, KANG Qiaoyan, HAN Xiaoyang Virtual Network Function Migration Method Based on Topology and Resource Awareness
description	In the network function virtualization environment, aiming at the load imbalance of network, a topology and resource-aware virtual network function migration method (TRA-VNFM) is proposed. Firstly, according to the computing, storage and forwarding resource occupancy of the underlying network, the two-level dynamic threshold is set to classify the overload degree of physical nodes, and at the same time, the corresponding migration judgment conditions are formulated and the set of destination nodes to be migrated is calculated. Among them, high-overload nodes have priority to implement migration and have lower migration success conditions. Secondly, for the virtual network function deployed on the overload node, the resource-aware algorithm is used to set its migration weight.The more overload resources the virtual network function occupies, the larger its migration weight, combining the migration weight and resource demand to select the virtual network function to be migrated. Finally, the topology-aware algorithm of extreme value interaction is used to evaluate the nodes in the migration destination node set, taking the node with the highest evaluation as the migration destination node by considering all kinds of resource occupancy, processing delay and topological properties. Simulation experiments show that compared with the previous virtual network function migration methods, this method not only reduces the migration time, but also has better performance in the average delay of the service function chain, the revenue to expense ratio of network and the degree of load balancing.
format	article
author	YANG Yong, MENG Xiangru, KANG Qiaoyan, HAN Xiaoyang
author_facet	YANG Yong, MENG Xiangru, KANG Qiaoyan, HAN Xiaoyang
author_sort	YANG Yong, MENG Xiangru, KANG Qiaoyan, HAN Xiaoyang
title	Virtual Network Function Migration Method Based on Topology and Resource Awareness
title_short	Virtual Network Function Migration Method Based on Topology and Resource Awareness
title_full	Virtual Network Function Migration Method Based on Topology and Resource Awareness
title_fullStr	Virtual Network Function Migration Method Based on Topology and Resource Awareness
title_full_unstemmed	Virtual Network Function Migration Method Based on Topology and Resource Awareness
title_sort	virtual network function migration method based on topology and resource awareness
publisher	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
publishDate	2021
url	https://doaj.org/article/3d1f5e3da3cd44428d40cdc4df216f12
work_keys_str_mv	AT yangyongmengxiangrukangqiaoyanhanxiaoyang virtualnetworkfunctionmigrationmethodbasedontopologyandresourceawareness
_version_	1718440364778455040

Virtual Network Function Migration Method Based on Topology and Resource Awareness

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