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COVE: Co-operative Virtual Network Embedding for Network Virtualization

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Abstract

Network virtualization provides a promising solution for next-generation network management by allowing multiple isolated and heterogeneous virtual networks to coexist and run on a shared substrate network. A long-standing challenge in network virtualization is how to effectively and efficiently map these virtual nodes and links of heterogeneous virtual networks onto specific nodes and links of the shared substrate network, known as the Virtual Network Embedding (VNE) problem. Existing centralized VNE algorithms and distributed VNE algorithms both have advantages and disadvantages. In this paper, a novel cooperative VNE algorithm is proposed to coordinate centralized and distributed algorithms and unite their respective advantages and specialties. By leveraging the learning technology and topology decomposition, autonomous substrate nodes entrusted with detailed mapping solutions cooperate closely with the central controller with a global view and in charge of general management to achieve a successful embedding process. Besides a topology-aware resource evaluation mechanism and customized mapping management policies, Bloom filter is elaborately introduced to synchronize the mapping information within the substrate network, instead of flooding which generates massive communication overhead. Extensive simulations demonstrate that the proposed cooperative algorithm has acceptable and even better performance in terms of long-term average revenue and acceptance ratio than previous algorithms.

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Acknowledgements

We are grateful to Prof. Raouf Boutaba and Prof. Reaz Ahmed from University of Waterloo, Canada for their precious comments and suggestions, which help to improve this paper. This work was jointly funded by: (1) National Natural Science Foundation of China (No. 61372120, 61421061, 61671079, 61471063); (2) Beijing Municipal Natural Science Foundation (No. 4152039); (3) Spanish Research Council (No: TIN2013-46883); (4) Regional Government of Madrid (No: S2013/ICE-2894) co-funded by FSE & FEDER.

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Authors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Min Feng, Jianxin Liao & Jingyu Wang

  2. China Mobile Communications Corporation, Beijing, China

    Min Feng

  3. China Academy of Telecommunication Research, Beijing, China

    Sude Qing

  4. Technical University of Madrid, Madrid, Spain

    Tonghong Li

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  1. Min Feng
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Correspondence to Min Feng.

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Feng, M., Liao, J., Qing, S. et al. COVE: Co-operative Virtual Network Embedding for Network Virtualization. J Netw Syst Manage 26, 79–107 (2018). https://doi.org/10.1007/s10922-017-9408-1

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