Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

Journal of Beijing University of Posts and Telecommunications ›› 2021, Vol. 44 ›› Issue (1): 7-13.doi: 10.13190/j.jbupt.2020-035

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A SFC Deployment and Computation Resource Allocation Joint Algorithm in Mobile Networks

ZHANG Tian-kui1, WANG Xiao-fei1, YANG Li-wei2, YANG Ding-cheng3   

  1. 1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China;
    3. School of Information Engineering, Nanchang University, Nanchang 330031, China
  • Received:2020-03-31 Online:2021-02-28 Published:2021-09-30

Abstract: In the mobile core networks, a service function chain (SFC) deployment and computation resource allocation joint algorithm for network function virtualization is proposed. Considering the impact of computation resource allocation of virtual network function(VNF) on processing delay in the SFC,a joint optimization problem of SFC deployment and computation resource allocation is established to minimize the weighted sum of deployment cost and end to end service delay of SFCs. To deal with the proposed problem,the multi-agent deep deterministic policy gradient algorithm is used to learn the strategy from the historical data of each VNF in the SFC to guide the immediate selection of general server nodes and computation resource allocation,based on which,a SFC deployment and computation resource allocation joint algorithm is proposed. Simulations show that the proposed algorithm can achieve an effective trade-off between deployment cost and end to end service delay while ensuring quality of service requirements of SFCs.

Key words: mobile core network, service function chain, computation resource, multi-agent deep deterministic policy gradient

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