
浏览全部资源
扫码关注微信
1.西南电子技术研究所,四川 成都610036
2.上海卫星互联网研究院有限公司,上海201210
3.上海市卫星互联网重点实验室,上海201210
4.卫星互联网全国重点实验室,上海201210
5.中电云计算技术有限公司,四川 成都 610041
刘永福(1982-),男,硕士,西南电子技术研究所架构师,主要研究方向为云计算、大数据、卫星互联网、智能计算等。
商科峰(1987-),男,硕士,主要研究方向为卫星网络、天基边缘云、在轨智能应用等。
别 佳(1987-),男,硕士,西南电子技术研究所工程师,主要研究方向为云计算、卫星互联网等。
刘言(1985-),男,博士,主要研究方向为卫星网络、人工智能应用、天基边缘云等。
朱凯歌(1993-),男,博士,主要研究方向为卫星网络、天基边缘云等。
王玉稳(1993-),男,硕士,主要研究方向为云计算及边缘计算等。
李科伟 (1987-),男,硕士,主要研究方向为云计算、边缘计算及应用管理等。
收稿:2025-06-24,
修回:2025-08-04,
纸质出版:2025-09-20
移动端阅览
刘永福,商科峰,别佳等.低轨卫星边缘计算关键技术综述[J].天地一体化信息网络,2025,06(03):21-29.
LIU Yongfu,SHANG Kefeng,BIE Jia,et al.Survey on Key Technologies of Low Orbit Satellite Edge Computing[J].Space-Integrated-Ground Information Networks,2025,06(03):21-29.
刘永福,商科峰,别佳等.低轨卫星边缘计算关键技术综述[J].天地一体化信息网络,2025,06(03):21-29. DOI: 10.11959/j.issn.1000-0801.2025025.
LIU Yongfu,SHANG Kefeng,BIE Jia,et al.Survey on Key Technologies of Low Orbit Satellite Edge Computing[J].Space-Integrated-Ground Information Networks,2025,06(03):21-29. DOI: 10.11959/j.issn.1000-0801.2025025.
随着航天技术发展与卫星互联网建设推进,卫星应用日益广泛,卫星边缘协同计算需求也随之增长。卫星边缘计算可下沉数据处理与任务执行,缓解星地传输压力,提升系统响应速度与可靠性,但低轨卫星边缘计算仍面临星地网络中断、星间连接弱、单粒子翻转及节点故障等挑战。针对以上问题,提出一种轻量化、高可靠的卫星边缘协同计算架构,通过研究异构资源适配、分布式协同等关键技术,为卫星智能化应用提供支撑,并助力卫星互联网产业发展。
With the development of aerospace technology and the advancement of satellite Internet construction
satellite applications have become increasingly widespread
and the demand for satellite edge collaborative computing has grown. Satellite edge computing can sink data processing and task execution
alleviate the pressure of satellite-ground transmission
and improve the response speed and reliability of the system. However
low-orbit satellite edge computing faces challenges such as satellite-ground network interruption
weak inter-satellite connections
single event upset
and satellite node failure. This paper proposes a lightweight and highly reliable satellite edge collaborative computing architecture
studies key technologies such as heterogeneous resource adaptation and distributed collaboration
to provide support for satellite intelligent applications
and facilitate the development of the satellite Internet industry.
XU X B , WANG Q , HOU Y Z , et al . AI-SPACE: a cloud-edge aggregated artificial intelligent architecture for Tiansuan constellation-assisted space-terrestrial integrated networks [J ] . IEEE Network , 2023 , 37 ( 2 ): 22 - 28 .
WANG F , JIANG D D , QI S , et al . A dynamic resource scheduling scheme in edge computing satellite networks [J ] . Mobile Networks and Applications , 2021 , 26 ( 2 ): 597 - 608 .
陈书恒 , 莫嘉倩 , 莫小欣 . 机载低轨卫星通信发展及关键技术综述 [J ] . 电讯技术 , 2024 , 64 ( 1 ): 149 - 157 .
CHEN S H , MO J Q , MO X X . Review on development and key technologies of airborne low earth orbit (LEO) satellite communication [J ] . Telecommunication Engineering , 2024 , 64 ( 1 ): 149 - 157 .
周国昌 , 赖晓玲 , 朱启 , 等 . 一种改进的基于时钟沿的单粒子翻转自检纠错方法 [J ] . 西北工业大学学报 , 2015 , 33 ( 5 ): 716 - 720 .
ZHOU G C , LAI X L , ZHU Q , et al . An improved error detection and correction method for single event upset with clock edge [J ] . Journal of Northwestern Polytechnical University , 2015 , 33 ( 5 ): 716 - 720 .
SMITH J , CHEN L . Reliability analysis of on-board computing systems in low-earth orbit satellites [J ] . Journal of Spacecraft and Rockets , 2023 , 60 ( 2 ): 345 - 358 .
张万才 , 张楠 , 杨文清 , 等 . 基于虚拟化的GPU异构资源池平台架构设计、关键技术及应用研究 [J ] . 电信科学 , 2024 , 40 ( 9 ): 162 - 175 .
ZHANG W C , ZHANG N , YANG W Q , et al . Architecture design, key technologies, and application research of GPU heterogeneous resource pool platform based on virtualization [J ] . Telecommunications Science , 2024 , 40 ( 9 ): 162 - 175 .
栾政旻 . 低轨道卫星高动态载波同步技术研究 [D ] . 哈尔滨 : 哈尔滨工程大学 , 2020 .
LUAN Z M . Research on high-dynamic carrier synchronization technology for low earth orbit (LEO) satellites [D ] . Harbin : Harbin Engineering University , 2020 .
LI P , ZHANG H , WANG Y . Dynamic cluster formation and resource management for satellite edge computing networks [J ] . IEEE Transactions on Vehicular Technology , 2022 , 71 ( 5 ): 4859 - 4872 .
上官博屹 , 刘威 , 乐鹏 , 等 . 一种面向空间信息网络的星地协同计算迁移方法 [J ] . 武汉大学学报(信息科学版) , 2019 , 44 ( 3 ): 459 - 466 .
SHANGGUAN B Y , LIU W , YUE P , et al . An approach of spatial information network oriented satellite-ground collaborative computing migration [J ] . Geomatics and Information Science of Wuhan University , 2019 , 44 ( 3 ): 459 - 466 .
关敏 , 张勇 , 李云 , 等 . 我国风云气象卫星发展现状与未来展望 [J ] . 地球科学进展 , 2025 , 40 ( 2 ): 138 - 154 .
GUAN M , ZHANG Y , LI Y , et al . Current development and future trends of Fengyun meteorological satellites [J ] . Advances in Earth Science , 2025 , 40 ( 2 ): 138 - 154 .
HUANG X , LI J , ZHANG Y . A robust data transmission scheme for satellite-terrestrial integrated networks under variable channel conditions [J ] . Journal of Space Engineering , 2020 , 35 ( 4 ): 211 - 225 .
LIN H , ZHANG Y , CHEN J , et al . Multi-grained trace collection, analysis, and management of diverse container images [J ] . IEEE Transactions on Computers , 2024 , 73 ( 7 ): 1698 - 1710 .
ZHANG Y , CHEN J , LI W . Optimizing cloud-edge collaboration under unstable network conditions [J ] . IEEE Transactions on Mobile Computing , 2021 , 20 ( 8 ): 2457 - 2470 .
ZHANG P , LI Z , WANG Y . A lightweight data compression scheme for resource-constrained edge devices [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 12 ): 9456 - 9469 .
马文臻 , 邹自明 , 黎建辉 , 等 . 空间科学卫星数据处理框架研究与系统实现 [J ] . 系统仿真学报 , 2022 , 34 ( 7 ): 1605 - 1618 .
MA W Z , ZOU Z M , LI J H , et al . Space science satellite data processing framework research and system implementation [J ] . Journal of System Simulation , 2022 , 34 ( 7 ): 1605 - 1618 .
ZENG D , CHEN Z , CHEN J . A multi-objective Optimization approach for resource allocation in multi-task edge computing [J ] . IEEE Transactions on Industrial Informatics , 2020 , 16 ( 5 ): 3241 - 3250 .
HU X , ZHENG Y , LIU Y . Resilient and fault-tolerant architectures for satellite swarm systems [J ] . IEEE Transactions on Aerospace and Electronic Systems , 2023 , 59 ( 1 ): 38 - 51 .
POKHREL S R , SAHOO S R . Blockchain for the Internet of things: a comprehensive survey [J ] . Journal of Network and Computer Applications , 2021 , 182 : 103049 .
KHAN L U , KUMAR N . A survey on federated learning in vehicular networks: challenges and solutions [J ] . IEEE Communications Surveys & Tutorials , 2020 , 22 ( 4 ): 2824 - 2859 .
王鹏 , 张佳鑫 , 张兴 , 等 . 低轨卫星智能多接入边缘计算网络: 需求、架构、机遇与挑战 [J ] . 移动通信 , 2021 , 45 ( 5 ): 35 - 46 .
WANG P , ZHANG J X , ZHANG X , et al . Low earth orbit satellite intelligent multi-access edge computing networks: requirements, architecture, opportunities and challenges [J ] . Mobile Communications , 2021 , 45 ( 5 ): 35 - 46 .
0
浏览量
27
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621