综述

Spaceos：空间智能操作系统软件栈 / Space Intelligent OS Software Stack | https://gitee.com/openkylin/community/tree/master/sig/Space | https://www.openkylin.top/sig/sig_detail.html?sig_id=169

正在规划中 Space SIG 将聚焦关键应用场景，致力于打造一个全面的空间智能操作系统软件栈： 第一，定义空间级操作系统的基线，将针对星载异构硬件平台，提供统一的内核抽象和南向适配层，重点解决混合关键性部署和深度功耗管理等问题； 第二，构筑空间系统的高可靠堡垒，将单粒子翻转防护、故障自愈等空间刚性需求，内化为操作系统的原生特性，通过全栈加固保障系统安全； 第三，面向高动态星座环境，重点突破星间算力实时感知、分布式动态任务调度及“云-星”跨域协同管控等关键技术，构建“云端全局协调+星间分布自治”的混合调度架构，实现星上资源在拓扑变化、链路不稳定条件下的自组织与高效利用； 第四，研究智能应用在卫星资源受限环境下的可靠运行方法，构建覆盖算力效能的全栈可观测性体系，构建覆盖应用任务、系统资源、异构算力、功耗温度及节点健康状态的可观测体系，实时评估算力负载均衡度与资源利用效率。

Under planning. Space SIG will focus on key application scenarios and strive to build a comprehensive space intelligent operating system software stack: First, define the baseline of space-level operating systems, targeting spaceborne heterogeneous hardware platforms, providing a unified kernel abstraction and southbound adaptation layer, focusing on solving problems such as mixed-criticality deployment and deep power management; Second, build a highly reliable fortress for space systems, internalizing space rigid requirements such as single-event upset protection and fault self-healing as native features of the operating system, ensuring system security through full-stack hardening; Third, for highly dynamic constellation environments, break through key technologies such as real-time inter-satellite computing power awareness, distributed dynamic task scheduling, and cloud-satellite cross-domain collaborative management, building a hybrid scheduling architecture of "cloud-global coordination + inter-satellite distributed autonomy" to achieve self-organization and efficient utilization of on-board resources under topology changes and unstable links; Fourth, study reliable operation methods for intelligent applications in satellite resource-constrained environments, build a full-stack observability system covering computing power efficiency, and construct an observability system covering application tasks, system resources, heterogeneous computing power, power consumption temperature, and node health status, to evaluate computing power load balancing and resource utilization efficiency in real time.

发帖 / Post: spaceos@lists.openkylin.top

主页 / Home: https://gitee.com/openkylin/community/tree/master/sig/Space

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