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Komet: A Serverless Platform for Low-Earth Orbit Edge Services

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arxiv 2410.05973 v1 pith:K2UBLZD3 submitted 2024-10-08 cs.DC

classification cs.DC
keywords edgelow-earthorbitapplicationskometsatelliteservicesmigration
verification ladder T0 review T1 audit T2 compute T3 formal
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Low-Earth orbit satellite networks can provide global broadband Internet access using constellations of thousands of satellites. Integrating edge computing resources in such networks can enable global low-latency access to compute services, supporting end users in rural areas, remote industrial applications, or the IoT. To achieve this, resources must be carefully allocated to various services from multiple tenants. Moreover, applications must navigate the dynamic nature of satellite networks, where orbital mechanics necessitate frequent client hand-offs. Therefore, managing applications on the low-Earth orbit edge will require the right platform abstractions. We introduce Komet, a serverless platform for low-Earth orbit edge computing. Komet integrates Function-as-a-Service compute with data replication, enabling on-demand elastic edge resource allocation and frequent service migration against satellite orbital trajectories to keep services deployed in the same geographic region. We implement Komet as a proof-of-concept prototype and demonstrate how its abstractions can be used to build low-Earth orbit edge applications with high availability despite constant mobility. Further, we propose simple heuristics for service migration scheduling in different application scenarios and evaluate them in simulation based on our experiment traces, showing the trade-off between selecting an optimal satellite server at every instance and minimizing service migration frequency.

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Cited by 1 Pith paper

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  1. Ground-Side Mission Plan Compilation with Policy-as-Code Guardrails for Cloud-Native Satellite Platforms

    cs.DC 2026-07 conditional novelty 5.0 of 10

    An open-source compiler validates satellite mission plans with a Pydantic schema and ten OPA/Rego deny rules, then renders them into Argo Workflow and Kueue Job artifacts, with live-cluster DRA GPU admission demonstrated.

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