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A survey on communication and computing resources allocation and management for cohesive clustered satellites systems.

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Název: A survey on communication and computing resources allocation and management for cohesive clustered satellites systems.
Autoři: Zhang, Chen, Wan, Xin, Li, Wanjing, Liu, Haojun, Bian, Dongming, Zhang, Gengxin
Zdroj: SCIENCE CHINA Information Sciences; Sep2025, Vol. 68 Issue 9, p1-31, 31p
Abstrakt: With the rapid development of large-scale low Earth orbit (LEO) satellite constellations, cohesive clustered satellite (CCS) systems are considered critical spatial information infrastructures for augmenting space resource efficiency by aggregating the service capabilities of multiple satellite platforms to form an ultracohesive virtual satellite. This paper aims to fill the gaps identified in the literature by providing an extensive survey on communication and computing resources management, integrating insights from academia and the industry of CCS systems. It discusses the evolution and components of CCS systems and then introduces a native artificial intelligence architecture along with a hierarchical structure for resource management. Furthermore, it provides the emerging technologies and applications brought by CCS. On this basis, the modeling and metrics of resource management are established. Then, an exhaustive review of resource management methods encompassing both traditional and artificial intelligence algorithms is presented. Among these methods, knowledge-driven resource scheduling strategies are highlighted. Finally, some future directions of CCS systems are outlined. [ABSTRACT FROM AUTHOR]
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Databáze: Complementary Index
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Abstrakt:With the rapid development of large-scale low Earth orbit (LEO) satellite constellations, cohesive clustered satellite (CCS) systems are considered critical spatial information infrastructures for augmenting space resource efficiency by aggregating the service capabilities of multiple satellite platforms to form an ultracohesive virtual satellite. This paper aims to fill the gaps identified in the literature by providing an extensive survey on communication and computing resources management, integrating insights from academia and the industry of CCS systems. It discusses the evolution and components of CCS systems and then introduces a native artificial intelligence architecture along with a hierarchical structure for resource management. Furthermore, it provides the emerging technologies and applications brought by CCS. On this basis, the modeling and metrics of resource management are established. Then, an exhaustive review of resource management methods encompassing both traditional and artificial intelligence algorithms is presented. Among these methods, knowledge-driven resource scheduling strategies are highlighted. Finally, some future directions of CCS systems are outlined. [ABSTRACT FROM AUTHOR]
ISSN:1674733X
DOI:10.1007/s11432-024-4450-6