1673-159X

CN 51-1686/N

王诗宇,何锋. 基于异构组网的跨域任务调度[J]. 西华大学学报(自然科学版),2024,43(3):1 − 8. doi: 10.12198/j.issn.1673-159X.5183
引用本文: 王诗宇,何锋. 基于异构组网的跨域任务调度[J]. 西华大学学报(自然科学版),2024,43(3):1 − 8. doi: 10.12198/j.issn.1673-159X.5183
WANG Shiyu, HE Feng. The Cross-domain Task Scheduling Based on Heterogeneous Networking[J]. Journal of Xihua University(Natural Science Edition), 2024, 43(3): 1 − 8.. doi: 10.12198/j.issn.1673-159X.5183
Citation: WANG Shiyu, HE Feng. The Cross-domain Task Scheduling Based on Heterogeneous Networking[J]. Journal of Xihua University(Natural Science Edition), 2024, 43(3): 1 − 8.. doi: 10.12198/j.issn.1673-159X.5183

基于异构组网的跨域任务调度

The Cross-domain Task Scheduling Based on Heterogeneous Networking

  • 摘要: 为了提高航电系统在异构组网下的跨域协同任务调度能力,文章提出了一种基于能力与任务映射的分布式跨域任务调度方法。该方法借鉴马赛克战的概念,按照任务需求动态调度资源;面向完整的任务流程构建感知子网、决策子网和响应子网,针对不同子网的功能指标进行能力的统一量化;任务分解成子任务,子任务进一步分解为匹配能力的服务需求,进而完成能力与服务需求的映射,在满足映射条件下进行异构组网的协同任务调度。利用OMNeT++仿真平台将该方法与战术数据链和战术云网络进行对比分析,其仿真结果表明,该方法相比战术云网络架构,数据包吞吐量提高29.1%,任务组完成时间平均减少36%,并且可以降低消息传输时延。

     

    Abstract: In order to improve the capability of cross-domain collaborative task scheduling of avionics systems in heterogeneous networking, a distributed cross-domain task scheduling method based on capability and task mapping is proposed in this paper. Learn from the concept of Mosaic warfare to realize dynamic scheduling of resources according to task requirements. This method constructs perception subnets, decision subnets and response subnets for a complete task flow, and quantifies the capabilities of different subnets in a unified manner. The tasks are decomposed into sub-tasks, and sub-tasks are further decomposed into service requirements matching capabilities. In this way, the mapping between capabilities and service requirements is completed, and collaborative task scheduling is carried out in heterogeneous networking under the mapping conditions. In this paper, OMNeT++ simulation platform is used to compare the method with tactical data link and tactical cloud network. Simulation results show that compared with tactical cloud network architecture, the proposed method can improve packet throughput by 29.1%, reduce task group completion time by 36% on average, and reduce message transmission delay.

     

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