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<p>Network function virtualization achieves the softwareization of network functions through virtualization technology, reducing operational costs but introducing challenges in network orchestration complexity. To deploy service function chains efficiently and cost-effectively in a network function virtualization environment, a latency-guaranteed, optimized mapping method is proposed. Firstly, a model that minimizes the total network deployment cost for service function chains is established, comprehensively considering user latency requirements and network resource constraints. Secondly, a service function chain mapping method based on an improved sparrow search algorithm is introduced. Finally, the simulation results show that the bandwidth resource utilization of the ISSA-SFCM algorithm is improved by 3.8% and 8.5%, respectively, compared to the control DP-COA algorithm and First-Fit algorithm, with a higher service function chain request acceptance rate and lower average network cost. </p>

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Service function chain mapping method based on delay guarantee

  • 期刊论文

  • 发表日期：

    2025年4月28日

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  • Bin Zhuge,
  • Xiaodan Cai,
  • Zitian Zhang,
  • Qianye Ren,
  • Ligang Dong,
  • Xian Jiang,
  • Yueqian Xu,
  • Lingrong Lu

摘要

Network function virtualization achieves the softwareization of network functions through virtualization technology, reducing operational costs but introducing challenges in network orchestration complexity. To deploy service function chains efficiently and cost-effectively in a network function virtualization environment, a latency-guaranteed, optimized mapping method is proposed. Firstly, a model that minimizes the total network deployment cost for service function chains is established, comprehensively considering user latency requirements and network resource constraints. Secondly, a service function chain mapping method based on an improved sparrow search algorithm is introduced. Finally, the simulation results show that the bandwidth resource utilization of the ISSA-SFCM algorithm is improved by 3.8% and 8.5%, respectively, compared to the control DP-COA algorithm and First-Fit algorithm, with a higher service function chain request acceptance rate and lower average network cost.