Energy-aware Virtual Network Embedding Algorithm for Heterogeneous Nodes

Gong Shui-qing; Chen Jing; Wang Wei

doi:10.11999/JEIT141527

Volume 37 Issue 8

Aug. 2015

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Gong Shui-qing, Chen Jing, Wang Wei. Energy-aware Virtual Network Embedding Algorithm for Heterogeneous Nodes[J]. Journal of Electronics & Information Technology, 2015, 37(8): 2021-2027. doi: 10.11999/JEIT141527

Citation:

Gong Shui-qing, Chen Jing, Wang Wei. Energy-aware Virtual Network Embedding Algorithm for Heterogeneous Nodes[J]. Journal of Electronics & Information Technology, 2015, 37(8): 2021-2027. doi: 10.11999/JEIT141527

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Energy-aware Virtual Network Embedding Algorithm for Heterogeneous Nodes

doi: 10.11999/JEIT141527

1.
(College of Information and Navigation, Air Force Engineering University, Xi'an 710077, China)
2.
(College of Air and Missile Defense, Air Force Engineering University, Xi'an 710051, China)

Received Date: 2014-12-02
Rev Recd Date: 2015-03-06
Publish Date: 2015-08-19

Abstract

Abstract

The energy optimized virtual network embedding problem in the substrate network with heterogeneous nodes is not to minimize the number of working nodes and links. The load-based energy consumption models of the node and link in the substrate network are built, a mathematical model of the virtual network embedding problem is modeled in order to reduce energy consumption, and an energy-aware virtual network embedding heuristic algorithm is proposed. Based on the principles of energy optimization and coordination with link mapping, the virtual node is mapped onto the substrate node with the highest comprehensive resource capacity in the node mapping phase, and the link mapping phase is based on the energy-aware k shortest path algorithm. Simulation results show that the proposed algorithm reduces the energy consumption significantly, and the heterogeneity of substrate network nodes is greater, reducing the energy consumption is more obvious.
- Network virtualization,
- Virtual network embedding,
- Energy consumption model,
- Resource capacity

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References(22)

References

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