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作 者:马潇潇 孙甲琦[2] 朱宏涛 杨罗兰 MA Xiaoxiao;SUN Jiaqi;ZHU Hongtao;YANG Luolan(Beijing Research Institute of Telemetry,Beijing 100076,China;China Academy of Aerospace Electronics Technology,Beijing 100094,China)
机构地区:[1]北京遥测技术研究所,北京100076 [2]中国航天电子技术研究院,北京100094
出 处:《遥测遥控》2024年第4期97-107,共11页Journal of Telemetry,Tracking and Command
摘 要:新型航天地面测控装备采用虚拟资源池架构和容器云技术,按需进行测控资源调度和测控业务能力生成。资源池系统包含种类繁多的异构资源,针对其中信号处理资源的调度需求,本文设计了一种基于多级队列择优的信号处理资源调度策略,将资源聚合管理、统一分配,根据任务需求分级择优进行分配调度,保证系统资源调度的高可靠性,兼顾资源的高效利用和负载均衡。The new aerospace ground TT&C equipment adopts the virtual resource pool architecture and container cloud technology to carry out on-demand scheduling of measurement and control resources and generation of measurement and control business capabilities.The resource pool system contains a wide variety of heterogeneous resources,for which the signal processing resources are task-oriented scheduling requirements,this paper designs a signal processing resource scheduling strategy based on multilevel queue optimization for the resource pool,which aggregates the resources for management and unified allocation,and allocates and schedules them according to the task requirements in a hierarchical and optimal way to ensure the high availability of the resource pool system and the high utilization rate of resources.
分 类 号:V556.1[航空宇航科学与技术—人机与环境工程] TP33[自动化与计算机技术—计算机系统结构]
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