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With the rapid development of network applications, the continuous growth of network traffic has made traditional user role-based bandwidth limiting and scheduling methods increasingly inadequate for meeting the demands of efficient and flexible network management. This paper first analyzes the traffic control characteristics of Huawei routers and switches, and evaluates the bandwidth allocation methods used in Huawei network devices under user role-based rate limiting in NAC/AAA scenarios. Based on the identified shortcomings—particularly the extremely low bandwidth utilization in specific environments—This paper proposes a dynamic bandwidth protocol suitable for Huawei proprietary wired network equipment. The proposed protocol aims to optimize network resource utilization during off-peak periods, dynamically adjusting bandwidth usage to enhance efficiency. This approach is intended to enable the development of algorithms that are more suitable for complex network environments, based on varying data patterns [1].

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Research on the Improvement of User Rate Limiting Algorithm (NAC/AAA) for Huawei Network Equipment

  • 会议论文

  • 发表日期：

    2026年

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  • Haiteng Lin,
  • Hongyuan Wang,
  • Yikang Qiu,
  • Dongmei Luo

摘要

With the rapid development of network applications, the continuous growth of network traffic has made traditional user role-based bandwidth limiting and scheduling methods increasingly inadequate for meeting the demands of efficient and flexible network management. This paper first analyzes the traffic control characteristics of Huawei routers and switches, and evaluates the bandwidth allocation methods used in Huawei network devices under user role-based rate limiting in NAC/AAA scenarios. Based on the identified shortcomings—particularly the extremely low bandwidth utilization in specific environments—This paper proposes a dynamic bandwidth protocol suitable for Huawei proprietary wired network equipment. The proposed protocol aims to optimize network resource utilization during off-peak periods, dynamically adjusting bandwidth usage to enhance efficiency. This approach is intended to enable the development of algorithms that are more suitable for complex network environments, based on varying data patterns [1].