基于动态优先级调度机制的多级通信网络负载均衡
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作者单位:

1.南京航空航天大学民航学院, 南京 211106;2.南京邮电大学计算机学院, 南京 210023;3.南京交通职业技术学院, 南京 211188

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通讯作者:

钱小燕,女,副教授,E-mail:qianxiaoyan@nuaa.edu.cn。

中图分类号:

TP393;TN913.21

基金项目:

国家自然科学基金(U2033207); 国家重点研发项目(2024YFB2906704); 江苏省自然科学基金重点项目(24KJA520006)。


Load Balance in Hierarchical Communication Networks Based on Dynamic Priority Scheduling
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1.College of Civil Aviation, Nanjing University of Aeronautics & Astronautics, Nanjing 211106, China;2.School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;3.Nanjing Vocational Institute of Transport Technology, Nanjing 211188, China

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    摘要:

    现代机场通信网络在智慧机场建设背景下,面临着保障航空管制等安全关键业务确定性低时延与满足视频监控、数据中心存储业务等高吞吐量传输的双重挑战。现有优先级调度与负载均衡算法存在固有局限性,仅能单一地满足低时延或高吞吐量需求。针对这一问题,本文提出基于时间敏感网络的多级负载均衡算法。首先,建立动态优先级调度机制,构建符合机场业务等级的优先级映射关系并支持临时优先级调整,以保障关键业务低时延传输;其次,设计基于排队时延的单级负载均衡机制,精确量化链路传输能力,实现业务流的最优出口决策;最后,通过多优先级队列状态管理机制,将动态优先级调度与单级负载均衡有机融合,实现多优先级的出口链路决策,从而最大化带宽资源利用率,显著提升网络吞吐量。实验结果表明,相较于等价多路径(Equal-cost multi-path,ECMP)路由算法、基于时延的负载均衡(Delay-based load balance,DLB)算法、先验信息未知流调度(Practical information-agnostic flow scheduling,PIAS)算法和时间敏感网络(Time-sensitive networking,TSN)优先级调度算法等基准方案,本文算法将机场关键业务流时延降低63%且整体业务流吞吐量最大提升40%,有效缓解了机场通信网络中“低时延-高吞吐量”的复合需求矛盾。

    Abstract:

    Targeting smart airports, modern airport communication networks must simultaneously support deterministic low-latency transmission for safety-critical services and high-throughput data delivery. Existing scheduling and load balancing methods struggle to balance both requirements. To address this challenge, this paper proposes a framework of multi-level load balance algorithm based on time-sensitive networking. First, dynamic priority scheduling establishes hierarchical service-tier mappings with temporary escalation support for critical operations. Second, queueing delay-aware load balancing quantifies link capacity via real-time metrics to enable optimal egress selection. Finally, multi-priority queue coordination unifies these mechanisms through stateful management, enabling holistic multi-priority egress decisions that maximize bandwidth utilization and boost throughput. Experiments show the proposed framework reduces latency for critical services by 63% and increases overall throughput by 40% compared to benchmarks like equal-cost multi-path(ECMP)routing, delay-based load balance( DLB), practical information-agnostic flow scheduling, namely PIAS, time-sensitive networking(TSN). It effectively mitigates the low-latency versus high-throughput conflict.

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钱小燕,徐睿,韩磊,顾妍,刘青松,郑兆彧.基于动态优先级调度机制的多级通信网络负载均衡[J].南京航空航天大学学报,2025,57(6):1135-1145

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  • 收稿日期:2025-09-30
  • 最后修改日期:2025-11-11
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  • 在线发布日期: 2025-12-18
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