A Virtual Network Embedding Algorithm Based on Topology Potential

LIU Xinbo; WANG Buhong; YANG Zhixian; LIU Shuaiqi

doi:10.11999/JEIT170981

Volume 40 Issue 7

Jul. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(7): 1684-1690

LIU Xinbo, WANG Buhong, YANG Zhixian, LIU Shuaiqi. A Virtual Network Embedding Algorithm Based on Topology Potential[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1684-1690. doi: 10.11999/JEIT170981

Citation:

LIU Xinbo, WANG Buhong, YANG Zhixian, LIU Shuaiqi. A Virtual Network Embedding Algorithm Based on Topology Potential[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1684-1690. doi: 10.11999/JEIT170981

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A Virtual Network Embedding Algorithm Based on Topology Potential

doi: 10.11999/JEIT170981

LIU Xinbo WANG Buhong YANG Zhixian LIU Shuaiqi

Funds:

The National Natural Science Foundation of China (61401499), Shanxi Provincial Natural Science Foundation (2015JM6340)

Received Date: 2017-10-20
Rev Recd Date: 2018-02-27
Publish Date: 2018-07-19

Abstract

Abstract

To improve the low acceptance ratio and revenue-cost ratio caused by the negligence of the topology attribute of the nodes in the existing virtual network embedding algorithm, the theory of fields in physics is introduced into the virtual network embedding, and a Virtual Network Embedding algorithm based on Topology Potential (TP-VNE) is proposed. In the node embedding stage, the virtual node is embedded onto the optimal physical node by calculating the topology potential of the node, the resource capacity of the node, and the distance between the embedded nodes and the node to embed. In the link embedding stage, the virtual link is embedded onto the best physical path by calculating the available bandwidth of the path and the hops of the path. Experimental results show that the proposed algorithm has the higher acceptance ratio and revenue-cost ratio compared with the existing virtual network embedding algorithm in all simulation conditions.
- Network virtualization、Virtual network embedding、Topology potential,

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References(18)

References

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