Environment Adaptive and Joint Topology Aware Virtual Network Embedding Algorithm

SU Yuze; MENG Xiangru; MENG Qingwei; ZHAO Zhiyuan

doi:10.11999/JEIT170325

Volume 40 Issue 1

Jan. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(1): 79-86

SU Yuze, MENG Xiangru, MENG Qingwei, ZHAO Zhiyuan. Environment Adaptive and Joint Topology Aware Virtual Network Embedding Algorithm[J]. Journal of Electronics & Information Technology, 2018, 40(1): 79-86. doi: 10.11999/JEIT170325

Citation:

SU Yuze, MENG Xiangru, MENG Qingwei, ZHAO Zhiyuan. Environment Adaptive and Joint Topology Aware Virtual Network Embedding Algorithm[J]. Journal of Electronics & Information Technology, 2018, 40(1): 79-86. doi: 10.11999/JEIT170325

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Environment Adaptive and Joint Topology Aware Virtual Network Embedding Algorithm

doi: 10.11999/JEIT170325

Funds:

The National Natural Science Foundation of China (61401499)

Received Date: 2017-04-13
Rev Recd Date: 2017-09-12
Publish Date: 2018-01-19

Abstract

Abstract

In order to solve the problem of low environmental adaptability, poor topology correlation and large embedding cost in virtual network embedding algorithms, an environment adaptive and joint topology aware virtual network embedding algorithm is proposed. At first, a ranking method of weighted relative entropy is proposed to quantify the nodes with multi-index and the weights are changed according to different environment. The weighted relative entropy and breadth first search algorithm are both used in virtual node ranking phase, the nearest degree is introduced into physical node ranking and all these are used to achieve the joint awareness to the virtual topology and physical topology. Finally, the k-shortest path algorithm is introduced into virtual link embedding. Simulation results show that the proposed algorithm can improve the acceptance radio and the revenue to cost ratio by adjusting the weights according to the environment.
- Virtual network,
- Embedding algorithm,
- Environment adaptive,
- Joint topology aware,
- Weighted relative entropy method

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References(23)

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