Energy Aware Virtual Network Embedding Using Particle Swarm Optimization Algorithm Based on Adaptive

HU Ying; ZHUANG Lei; LAN Julong; MA Ding

doi:10.11999/JEIT151434

Volume 38 Issue 10

Oct. 2016

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HU Ying, ZHUANG Lei, LAN Julong, MA Ding. Energy Aware Virtual Network Embedding Using Particle Swarm Optimization Algorithm Based on Adaptive[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2660-2666. doi: 10.11999/JEIT151434

Citation:

HU Ying, ZHUANG Lei, LAN Julong, MA Ding. Energy Aware Virtual Network Embedding Using Particle Swarm Optimization Algorithm Based on Adaptive[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2660-2666. doi: 10.11999/JEIT151434

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Energy Aware Virtual Network Embedding Using Particle Swarm Optimization Algorithm Based on Adaptive

doi: 10.11999/JEIT151434

1.
(School of Information Engineering, Zhengzhou University, Zhengzhou 450000, China)
2.
(National Digital Switching System Engineering &

Funds:

The National 973 Program of China (2012CB315901), The National Natural Science Foundation of China (61379079), The Science and Technology Key Project of Henan Province (122102210042)

Received Date: 2015-12-17
Rev Recd Date: 2016-07-01
Publish Date: 2016-10-19

Abstract

Abstract

A novel adaptive co-evolutionary particle swarm optimization algorithm is presented for energy aware virtual network embedding problem. The polymerization degree is designed, which is used to adaptively select searching method, namely variation search, internal search or external search. Second, the algorithm adaptively determine whether to terminate the searching process of particle swarm according to the evolution result. Moreover, extensive simulation under common test environment compares results in energy consumption performing goal, and the results indicate the efficiency of the proposed algorithm.
- Energy aware virtual network embedding,
- Co-evolution,
- Adaptive algorithm,
- Particle swarm optimization algorithm

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References(26)

References

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