Space Edge Computing: Requirement, Architecture and Key Technique
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摘要: 随着航天电子技术的迅猛发展，特别是商用货架器件(COTS)的广泛使用，星载计算处理能力获得大幅跃升。空间边缘计算将广域分散的星载计算资源通过星间链路临机自组织成一个空间分布、计算协同的云环境，实现资源相助、任务协同，可以有效摆脱对地面的依赖、提升服务响应速度。该文首先从空间边缘计算的应用需求出发，梳理了空间边缘计算的发展现状以及存在的问题与挑战；然后在此基础上总结分析，提出一种空间边缘计算架构，并从物理架构、功能架构、软件架构以及服务流程等多维角度进行了阐述；最后对涉及的关键技术进行了概述和分析，以期能够为后续的研究提供有价值的建议和参考。Abstract: With the rapid development of aerospace electronic technology, especially the wide use of Commercial Off-The-Shelf(COTS), the space computing capacity has increased significantly. Space edge computing organizes the widely dispersed space-based computing resources into a distributed and collaborative cloud environment through inter-satellite links, so as to realize resource complementarity and task collaboration, which can effectively get rid of the dependence on the ground and improve the speed of service response. Firstly, the requirements development status, existing problems and challenges of space edge computing are clarified. Then, a space edge computing architecture is proposed, which is described from the perspectives of physical architecture, functional architecture, software architecture and service process. Finally, the key technologies are summarized and analyzed in order to provide valuable suggestions and references for follow-up research.
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Key words:
- Space network /
- Edge computing /
- Distributed computing /
- Collaborative computing
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表 2 国内外典型宇航级CPU芯片
序号 CPU型号 年份 国家/地区 主频 IP核数 计算能力 架构 1 TSC695F[18] 1998年 欧洲 25.0 MHz 1 20 DMIPS SPARC 2 RAD750[19] 2001年 美国 200.0 MHz 1 400 DMIPS PPC 3 GR712RC[18] 2009年 欧洲 100.0 MHz 2 200 DMIPS SPARC 4 DAHLIA[20] 2019年 欧洲 1.6 GHz 4 4000 DMIPS ARM 5 HPSC[21] 2019年 美国 800.0 MHz 8 7360 DMIPS ARM 6 BM3883[22] 2021年 中国 1.0 GHz 8 16 GIPS SPARC 7 玉龙810[23] 2021年 中国 1.0 GHz 8 12 TOPS ARM 
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