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Survivable SFC deployment method based on federated learning in multi-domain network

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Abstract

In the multi-domain network scenario, in order to improve the survivability of service function chain (SFC) in the face of network failure, most methods solve this problem through virtual network function (VNF) backup mechanism. However, the traditional multi-domain SFC deployment method lacks a SFC partition mechanism for backup resource consumption and does not consider the isolation and privacy requirements between different network domains. In view of the above problems, this paper proposes a reliability partition scheme based on reinforcement learning in SFC partition stage, which can ensure that VNF is backed up while maintaining good load balancing and low inter-domain transmission delay, and improve the reliability of SFC. Then, this paper proposes a VNF backup mechanism with minimum resource fluctuation in the VNF mapping stage and uses the integer linear programming (ILP) model to determine the backup scheme of each VNF, so as to ensure the minimum fluctuation of resource occupancy of the entire network. Finally, this paper proposes a multi-domain SFC deployment and backup algorithm based on Federated learning (FA-MSDB). The experimental results indicate that FA-MSDB can effectively improve the survival rate of SFC, reduce the overall transmission delay, and ensure good inter-domain and intra-domain load balance.

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Funding

This work was supported by the National Key Research and Development Program of China (2018YFB1800305).

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Author notes

  1. Ke Wang and Jihong Zhao have contributed equally to this work.

Authors and Affiliations

  1. School of Software Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

    Hua Qu & Ke Wang

  2. School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

    Hua Qu

  3. School of Communication and Information Engineering, Xi’an University of Posts & Telecommunications, Xi’an, 710061, China

    Jihong Zhao

Authors
  1. Hua Qu
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  2. Ke Wang
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  3. Jihong Zhao
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Contributions

KW wrote the main manuscript text. HQ and JZ edited the original manuscript. All authors reviewed the manuscript.

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Correspondence to Ke Wang.

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Qu, H., Wang, K. & Zhao, J. Survivable SFC deployment method based on federated learning in multi-domain network. J Supercomput 79, 18198–18226 (2023). https://doi.org/10.1007/s11227-023-05382-1

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