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Virtual Network Embedding Based on Topology Potential

Information and Navigation college, Air Force Engineering University, Xi’an 710077, Shaanxi, China
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Entropy 2018, 20(12), 941; https://doi.org/10.3390/e20120941
Received: 29 October 2018 / Revised: 30 November 2018 / Accepted: 6 December 2018 / Published: 7 December 2018
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. View Full-Text
Keywords: network virtualization; virtual network embedding; topology potential; topology potential entropy network virtualization; virtual network embedding; topology potential; topology potential entropy
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Liu, X.; Wang, B.; Yang, Z. Virtual Network Embedding Based on Topology Potential. Entropy 2018, 20, 941.

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