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Topology-aware virtual network embedding based on closeness centrality

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Abstract

Network virtualization aims to provide a way to overcome ossification of the Internet. However, making efficient use of substrate resources requires effective techniques for embedding virtual networks: mapping virtual nodes and virtual edges onto substrate networks. Previous research has presented several heuristic algorithms, which fail to consider that the attributes of the substrate topology and virtual networks affect the embedding process. In this paper, for the first time, we introduce complex network centrality analysis into the virtual network embedding, and propose virtual network embedding algorithms based on closeness centrality. Due to considering of the attributes of nodes and edges in the topology, our studies are more reasonable than existing work. In addition, with the guidance of topology quantitative evaluation, the proposed network embedding approach largely improves the network utilization efficiency and decreases the embedding complexity. We also investigate our algorithms on real network topologies (e.g., AT&T, DFN) and random network topologies. Experimental results demonstrate the usability and capability of the proposed approach.

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Authors and Affiliations

  1. High Performance Network Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China

    Zihou Wang, Yanni Han, Tao Lin, Yuemei Xu, Song Ci & Hui Tang

  2. Department of Computer and Electronics Engineering, University of Nebraska-Lincoln, Lincoln, NE, 68182, USA

    Song Ci

Authors
  1. Zihou Wang
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  2. Yanni Han
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  3. Tao Lin
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  4. Yuemei Xu
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  5. Song Ci
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  6. Hui Tang
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Corresponding author

Correspondence to Zihou Wang.

Additional information

Zihou Wang received his BSc in electronics from Peking University, China, in 2008. Now he is a PhD candidate in the High Performance Network Laboratory at the Institute of Acoustics, Chinese Academy of Sciences. His main research interests are in the areas of complex network optimization, future Internet design, and network virtualization.

Yanni Han is an assistant researcher with the Institute of Acoustics, Chinese Academy of Sciences. Her current research interests include cognitive networks and virtual network management.

Tao Lin is an associate researcher with the Institute of Acoustics, Chinese Academy of Sciences. His current research interests focus on network architecture design and content-centric networks.

Yuemei Xu received her BSc in communication engineering from Beijing University of Posts and Telecommunications, China, in 2009. She is currently a PhD candidate with the Institute of Acoustics, Chinese Academy of Sciences. Her current research interests focus on service computing and content-centric networks.

Song Ci is a professor with the Institute of Acoustics, Chinese Academy of Sciences. He is also an associate professor in the Department of Electronics and Engineering at the University of Nebraska-Lincoln, USA. He is the director of the Intelligent Ubiquitous Computing Lab (iUbiComp Lab) and holds a courtesy appointment of UNL PhD in the Biomedical Engineering Program. His research interests include dynamic complex system modeling and optimization, green computing and power management, content-aware quality-driven cross-layer optimized multimedia over wireless networks, and cognitive network management.

Hui Tang is a professor with the Institute of Acoustics, Chinese Academy of Sciences. His research interests include next generation Internet, wireless multimedia technologies, Internet of things, mobile Internet, and P2P technologies.

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Wang, Z., Han, Y., Lin, T. et al. Topology-aware virtual network embedding based on closeness centrality. Front. Comput. Sci. 7, 446–457 (2013). https://doi.org/10.1007/s11704-013-2108-4

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  • DOI: https://doi.org/10.1007/s11704-013-2108-4

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