🤖 AI Summary
This study addresses the limitations of traditional connection-centric satellite communications, which struggle to meet the mission-oriented, service-driven information exchange demands of future data-intensive and AI-enabled space applications. To bridge this gap, the paper proposes a novel hierarchical Service-oriented Space Data Center (SDC) architecture, redefining orbital nodes as intelligent service entities that integrate communication, computation, storage, and control capabilities rather than serving merely as relays. The design encompasses coordinated deployment strategies and application scenarios across four functional layers: access, relay, computing, and control. By jointly optimizing on-orbit computing resource scheduling and low-latency control mechanisms, the proposed SDC architecture significantly reduces control-plane latency, as demonstrated through simulations, thereby effectively supporting next-generation intelligent space applications.
📝 Abstract
Space data centers (SDCs) are emerging as a promising orbital computing infrastructure for the future AI industry. Unlike conventional satellites that mainly serve as relay nodes or lightweight onboard processors, SDCs integrate communication, computing, storage, and control capabilities in orbit, enabling persistent service support for data-intensive and intelligence-driven space applications. In this article, we investigate how SDCs may transform space communication paradigms from connectivity-oriented data transmission toward task-oriented and service-centric information exchange. We first present a hierarchical SDC network architecture consisting of access, relay, computing, and control layers, and outline possible deployment strategies. We then explore representative future application scenarios enabled by SDCs, highlighting their communication characteristics and associated research challenges. Simulation results further demonstrate the effectiveness of SDCs in reducing control-layer latency in hierarchical space networks. Finally, we identify key research directions toward the practical deployment of SDCs.