This paper proposes SpaceCoMP, a MapReduce-inspired processing model for LEO satellite mesh networks, addressing the challenge of downlink bandwidth limitations by processing data in orbit. It leverages orbital dynamics and proposes optimizations for routing and task scheduling to improve data processing efficiency.
This paper proposes SkyMemory, a LEO satellite constellation hosted key-value cache (KVC) to accelerate transformer-based inference, particularly for large language models (LLMs). It explores different chunk-to-server mapping strategies (rotation-aware, hop-aware, and combined) and presents simulation results and a proof-of-concept implementation demonstrating performance improvements.
