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.
The article discusses the increasing usefulness of running AI models locally, highlighting benefits like latency, privacy, cost, and control. It explores practical applications such as data processing, note-taking, voice assistance, and self-sufficiency, while acknowledging the limitations compared to cloud-based models.
