Virtual network embedding algorithm based on consultant guided search

Considering at the problem of virtual network embedding,a virtual network embedding algorithm based on consultant guided search was proposed.The CPU of node,node degree and adjacent bandwidth were considered comprehensively,and the virtual network embedding was carried out with the meta-heuristic co...

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Main Authors: Wentan LIU, Lei ZHUANG, Mengyang HE, Shuaikui TIAN, Yu SONG, Guoqing WANG
Format: Article
Language:zho
Published: China InfoCom Media Group 2020-06-01
Series:物联网学报
Subjects:
Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00140/
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author Wentan LIU
Lei ZHUANG
Mengyang HE
Shuaikui TIAN
Yu SONG
Guoqing WANG
author_facet Wentan LIU
Lei ZHUANG
Mengyang HE
Shuaikui TIAN
Yu SONG
Guoqing WANG
author_sort Wentan LIU
collection DOAJ
description Considering at the problem of virtual network embedding,a virtual network embedding algorithm based on consultant guided search was proposed.The CPU of node,node degree and adjacent bandwidth were considered comprehensively,and the virtual network embedding was carried out with the meta-heuristic consultant guidance search.Experimental results show that compared with EAJTA-VNE algorithm and ANT-VNE algorithm,the proposed CGS-VNE algorithm has a higher request acceptance rate and revenue-cost ratio,and the embedding time in the context of low,medium and high resource demand of virtual network requests is shorten.
format Article
id doaj-art-ed866792a10f4fe9869a38a00c006ff9
institution Kabale University
issn 2096-3750
language zho
publishDate 2020-06-01
publisher China InfoCom Media Group
record_format Article
series 物联网学报
spelling doaj-art-ed866792a10f4fe9869a38a00c006ff92025-01-15T02:54:05ZzhoChina InfoCom Media Group物联网学报2096-37502020-06-01411312159651883Virtual network embedding algorithm based on consultant guided searchWentan LIULei ZHUANGMengyang HEShuaikui TIANYu SONGGuoqing WANGConsidering at the problem of virtual network embedding,a virtual network embedding algorithm based on consultant guided search was proposed.The CPU of node,node degree and adjacent bandwidth were considered comprehensively,and the virtual network embedding was carried out with the meta-heuristic consultant guidance search.Experimental results show that compared with EAJTA-VNE algorithm and ANT-VNE algorithm,the proposed CGS-VNE algorithm has a higher request acceptance rate and revenue-cost ratio,and the embedding time in the context of low,medium and high resource demand of virtual network requests is shorten.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00140/virtual networkembedding algorithmconsultant guided searchmeta-heuristicnetwork topology
spellingShingle Wentan LIU
Lei ZHUANG
Mengyang HE
Shuaikui TIAN
Yu SONG
Guoqing WANG
Virtual network embedding algorithm based on consultant guided search
物联网学报
virtual network
embedding algorithm
consultant guided search
meta-heuristic
network topology
title Virtual network embedding algorithm based on consultant guided search
title_full Virtual network embedding algorithm based on consultant guided search
title_fullStr Virtual network embedding algorithm based on consultant guided search
title_full_unstemmed Virtual network embedding algorithm based on consultant guided search
title_short Virtual network embedding algorithm based on consultant guided search
title_sort virtual network embedding algorithm based on consultant guided search
topic virtual network
embedding algorithm
consultant guided search
meta-heuristic
network topology
url http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00140/
work_keys_str_mv AT wentanliu virtualnetworkembeddingalgorithmbasedonconsultantguidedsearch
AT leizhuang virtualnetworkembeddingalgorithmbasedonconsultantguidedsearch
AT mengyanghe virtualnetworkembeddingalgorithmbasedonconsultantguidedsearch
AT shuaikuitian virtualnetworkembeddingalgorithmbasedonconsultantguidedsearch
AT yusong virtualnetworkembeddingalgorithmbasedonconsultantguidedsearch
AT guoqingwang virtualnetworkembeddingalgorithmbasedonconsultantguidedsearch