Publications Conference paper · Orbital computing · 2026
MeteorNet: Continuous-Time Emulation Platform for Edge Intelligence in LEO Constellations
IEEE International Mediterranean Conference on Communications and Networking (MeditCom), pp. 1–6, 2026
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Abstract
Mega-constellations of Low Earth Orbit (LEO) satellites are enabling a new Space Cloud paradigm in which edge servers hosted on-board process tasks autonomously, reducing ground-segment latency for globally dispersed users. Realizing this vision requires Collaborative Edge Intelligence (CEI): distributed algorithms that coordinate Multi-access Edge Computing (MEC) server activation, task offloading, and routing across a time-varying orbital topology. Existing evaluation tools are inadequate—simulation platforms abstract away protocollevel behavior, while emulation testbeds lack orbital dynamics. This paper presents MeteorNet, an open-source, continuous-time emulation platform that integrates SGP4 orbital propagation, Mininet/ONOS network emulation, Docker-containerized MEC services, and MongoDB telemetry. Supporting eight orchestration strategies, including Fuzzy Logic and distributed Reinforcement Learning controllers, MeteorNet enables apples-to-apples CEI benchmarking under realistic orbital conditions. Experiments show that intelligent controllers halve the MEC activation cost at low load, while revealing an orbital-visibility bottleneck that limits task success at high load, regardless of the orchestration policy.
Cite
DOI 10.1109/meditcom67211.2026.11641012
BibTeX
@inproceedings{fraire2026meteornet,
author = {Fraire, Juan A. and Rojas Milla, Camilo and Patrone, Fabio and Marchese, Mario},
title = {{MeteorNet}: Continuous-Time Emulation Platform for Edge Intelligence in {LEO} Constellations},
booktitle = {IEEE International Mediterranean Conference on Communications and Networking (MeditCom)},
pages = {1--6},
year = {2026},
doi = {10.1109/meditcom67211.2026.11641012}
}