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兵工学报 ›› 2024, Vol. 45 ›› Issue (7): 2306-2317.doi: 10.12382/bgxb.2023.0258

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航空信息网络服务功能链请求调度策略

曹代1, 詹思瑜2,*(), 郝鑫胜3, 关楷4, 付皓通3   

  1. 1 电子科技大学 信息与通信工程学院, 四川 成都 611731
    2 电子科技大学 智能计算研究院, 四川 成都 611731
    3 93303部队, 辽宁 沈阳 110000
    4 95859部队, 甘肃 酒泉 735000
  • 收稿日期:2023-03-27 上线日期:2023-07-13
  • 通讯作者:
  • 基金资助:
    四川省科技计划项目(2022YFG0176)

Scheduling Strategy of Aviation Information Network Service Function Chain Requirements

CAO Dai1, ZHAN Siyu2,*(), HAO Xinsheng3, GUAN Kai4, FU Haotong3   

  1. 1 School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China
    2 Intelligent Computer Research Institute, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China
    3 Unit 93303 of PLA, Shenyang 110000,Liaoning,China
    4 Unit 95859 of PLA, Jiuquan 735000, Gansu,China
  • Received:2023-03-27 Online:2023-07-13

摘要:

为解决航空信息网络场景下业务突发、拓扑结构动态变化以及资源有限所带来的资源利用效率低下问题,针对服务功能链请求(Service Function Chain Requirement,SFCR)高效调度的难题,提出一种网络功能虚拟化的服务功能链调度算法。算法依据SFCR与平台的相关性进行映射,提高服务器处理效率并有效减少虚拟网络功能实例化数量及整合平台资源;综合考虑时延和流量影响对网络功能实例进行整合迁移,降低网络能耗同时提升网络资源利用率。仿真结果表明,在满足时延需求条件下,新方法在运行平台数量、SFCR接受率、网络资源消耗等方面具有较好的优化性能,适用于解决航空信息网络场景下的SFCR调度问题。

关键词: 航空信息网络, 网络功能虚拟化, 服务功能链, 服务功能链请求调度, 网络功能实例

Abstract:

The low resource utilization efficiency may be caused by service burst, dynamic change of topology structure and limited resources in aviation information network (AIN) scenario. A service function chain scheduling algorithm for network function virtualization is proposed for the efficient scheduling of service function chain requirement (SFCR). The algorithm is mapped according to the correlation between SFCR and the platform, thus improving the processing efficiency of server, effectively reducing the number of virtual network function (VNF) instantiations, and integrating the platform resources. In considering the impacts of delay and traffic, the network function instances are integrated and migrated to reduce the network energy consumption and improve the resource utilization. The simulated results show that the proposed approach has better optimization performance in terms of the number of running platfors, SFCR acceptance ratio, and the network resource consumption while guaranteeing the delay requirements, which is suitable for solving the SFCR scheduling problem in AIN scenarios.

Key words: aviation information network, network function virtualization, service function chain, service function chain requirement scheduling, network function instance

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