Virtual Network Embedding Algorithm Based on Regional Resource Clustering Index

Mao Yu-xing; Guo Yun-fei; Wang Zhi-ming; Hu Hong-chao

doi:10.11999/JEIT150278

Volume 37 Issue 10

Sep. 2015

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(10): 2405-2410

Mao Yu-xing, Guo Yun-fei, Wang Zhi-ming, Hu Hong-chao. Virtual Network Embedding Algorithm Based on Regional Resource Clustering Index[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2405-2410. doi: 10.11999/JEIT150278

Citation:

Mao Yu-xing, Guo Yun-fei, Wang Zhi-ming, Hu Hong-chao. Virtual Network Embedding Algorithm Based on Regional Resource Clustering Index[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2405-2410. doi: 10.11999/JEIT150278

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Virtual Network Embedding Algorithm Based on Regional Resource Clustering Index

doi: 10.11999/JEIT150278

1.
(Command Information System Institute, PLA University of Science and Technology, Nanjing 210007, China)
2.
(National Digital Switching System Engineering &

Funds:

The National Natural Science Foundation of China (61309020)

Received Date: 2015-03-09
Rev Recd Date: 2015-06-16
Publish Date: 2015-10-19

Abstract

Abstract

Virtual network embedding is a critical issue in network virtualization. To overcome the ignorance of network local topology information in existing literatures, a Virtual Network Embedding (VNE) algorithm based on regional Resource Clustering Index (RCI-VNE), is proposed. In embedding preprocessing stage, a node regional resource clustering index evaluation algorithm is proposed, which considers local topology information and resource aggregation extent. In node embedding stage, a 2-adjacent aggregation node embedding algorithm based on the regional resource clustering index is also proposed. The algorithm embeds virtual nodes intensively to the location of abundant resources in substrate network and decreases embedding cost. Simulation results show that the algorithm improves virtual network request acceptance ratio, long-time average revenue and benefit-cost ratio compared with the existing embedding algorithms.
- Network Virtualization,
- Virtualization Network Embedding (VNE),
- Topology Information,
- Regional Resource Clustering Index (RCI)

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References(25)

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