Virtual Network Embedding Based on Topology Potential

To improve the low acceptance ratio and revenue to cost ratio caused by the poor match between the virtual nodes and the physical nodes in the existing virtual network embedding (VNE) algorithms, we established a multi-objective optimization integer linear programming model for the VNE problem, and...

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Main Authors: Xinbo Liu, Buhong Wang, Zhixian Yang
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/20/12/941
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author Xinbo Liu
Buhong Wang
Zhixian Yang
author_facet Xinbo Liu
Buhong Wang
Zhixian Yang
author_sort Xinbo Liu
collection DOAJ
description To improve the low acceptance ratio and revenue to cost ratio caused by the poor match between the virtual nodes and the physical nodes in the existing virtual network embedding (VNE) algorithms, we established a multi-objective optimization integer linear programming model for the VNE problem, and proposed a novel two-stage virtual network embedding algorithm based on topology potential (VNE-TP). In the node embedding stage, the field theory once used for data clustering was introduced and a node embedding function designed to find the optimal physical node. In the link embedding stage, both the available bandwidth and hops of the candidate paths were considered, and a path embedding function designed to find the optimal path. Extensive simulation results show that the proposed algorithm outperforms other existing algorithms in terms of acceptance ratio and revenue to cost ratio.
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spelling doaj.art-39f108abe60141f7a80bbb3e8334fa162022-12-22T02:54:07ZengMDPI AGEntropy1099-43002018-12-01201294110.3390/e20120941e20120941Virtual Network Embedding Based on Topology PotentialXinbo Liu0Buhong Wang1Zhixian Yang2Information and Navigation college, Air Force Engineering University, Xi’an 710077, Shaanxi, ChinaInformation and Navigation college, Air Force Engineering University, Xi’an 710077, Shaanxi, ChinaInformation and Navigation college, Air Force Engineering University, Xi’an 710077, Shaanxi, ChinaTo improve the low acceptance ratio and revenue to cost ratio caused by the poor match between the virtual nodes and the physical nodes in the existing virtual network embedding (VNE) algorithms, we established a multi-objective optimization integer linear programming model for the VNE problem, and proposed a novel two-stage virtual network embedding algorithm based on topology potential (VNE-TP). In the node embedding stage, the field theory once used for data clustering was introduced and a node embedding function designed to find the optimal physical node. In the link embedding stage, both the available bandwidth and hops of the candidate paths were considered, and a path embedding function designed to find the optimal path. Extensive simulation results show that the proposed algorithm outperforms other existing algorithms in terms of acceptance ratio and revenue to cost ratio.https://www.mdpi.com/1099-4300/20/12/941network virtualizationvirtual network embeddingtopology potentialtopology potential entropy
spellingShingle Xinbo Liu
Buhong Wang
Zhixian Yang
Virtual Network Embedding Based on Topology Potential
Entropy
network virtualization
virtual network embedding
topology potential
topology potential entropy
title Virtual Network Embedding Based on Topology Potential
title_full Virtual Network Embedding Based on Topology Potential
title_fullStr Virtual Network Embedding Based on Topology Potential
title_full_unstemmed Virtual Network Embedding Based on Topology Potential
title_short Virtual Network Embedding Based on Topology Potential
title_sort virtual network embedding based on topology potential
topic network virtualization
virtual network embedding
topology potential
topology potential entropy
url https://www.mdpi.com/1099-4300/20/12/941
work_keys_str_mv AT xinboliu virtualnetworkembeddingbasedontopologypotential
AT buhongwang virtualnetworkembeddingbasedontopologypotential
AT zhixianyang virtualnetworkembeddingbasedontopologypotential