Future Network for Space Data Center-Based In-Orbit Computing
A Special Issue of Future Internet (ISSN 1999-5903) belonging to the section "Network Virtualization and Edge/Fog Computing".
Deadline for manuscript submissions: 31 July 2027 | Viewed by 28
Editors
Interests: edge computing; internet of things; location awareness
Interests: robot learning; networked intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, the global demand for data processing is growing at a rate that is overwhelming the world's power generation and transmission capacity. Traditional Earth-centric data centers are increasingly constrained by the convergence of three limiting factors: the exponential energy density requirements of artificial intelligence (AI) workloads, the scarcity of land and water resources for cooling, and the latency bottlenecks inherent in centralized processing of distributed global sensor data. As the demand for training Large Language Models (LLMs) and processing Earth Observation (EO) data accelerates, the industry is witnessing the emergence of a radical infrastructure paradigm: the Space Data Center (SDC). SDCs transform satellites from simple relays into intelligent, distributed computing nodes capable of real-time data processing, localized storage, and autonomous decision-making. However, realizing the full potential of SDC-based in-orbit computing requires a radical rethinking of network architectures. This Special Issue focuses on the intersection of advanced networking and SDC-based computing architectures. We welcome high-quality, original research and comprehensive reviews addressing the unique challenges of this domain, including:
Advanced networking:
-Network architecture design and analysis for distributed SDC networks;
-Satellite communications;
-Low-latency inter-satellite links;
-High-mobility dynamic routing;
-Semantic communication for inter-satellite/satellite ground links;
-Laser communications for SDC networks;
-In-network computation in SDC networks;
-Advanced network slicing in SDC networks;
-Simultaneous Wireless/Lightwave Information and Power Transfer for SDC networks;
-Energy-efficient network protocols tailored for the harsh orbital environment;
-Security frameworks and policies for SDC networks;
-Secure data communications in SDC networks;
-Physical layer security in SDC networks;
-Topology-aware networking and orchestration for dynamic SDC networks;
-AI-Driven network control and orchestration in SDC networks;
-Testbed design, implementation, and deployment for SDC networks;
-Standardization recommendation for SDC network development.
SDC-based computing architectures:
-Architectures for in-orbit computing-enabled SDC systems;
-Multi-access edge computing (MEC) for SDC systems;
-Computation offloading in SDC systems;
-Lightweight and resource-efficient AI for in-orbit computing systems;
-Resource-constrained distributed intelligence in SDC systems;
-Federated learning over distributed SDC systems;
-In-orbit model partitioning;
-Efficient training and inference of large AI models in SDC systems;
-Agentic AI and AI agents for in-orbit computing;
-Communication and computing resource allocation and management in SDC systems;
-Semantic communication-enabled SDC systems;
-Computation-aware data transmission and networking in SDC systems;
-Integration of sensing, communication, and computing in SDC systems;
-SDC-based in-orbit processing for real-time Earth observation and disaster response;
-Experimental platforms, prototypes, and field trials for SDC systems.
Dr. Shuai Yu
Dr. Shuai Wang
Guest Editors
Manuscript Submission Information
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Keywords
- satellite communication
- semantic communication
- inter-satellite networks
- in-orbit computing (space AI)
- distributed computing
- federated learning
- large AI model
- resource orchestration
- Earth observation
- security
- testbeds
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