Resource Allocation on Low-Earth Orbit Edge Infrastructure: Taxonomy, Survey, and Research Challenges

Low Earth Orbit (LEO) Edge Computing integrates space technology with Edge Computing to enhance connectivity and reduce latency, addressing critical limitations of terrestrial infrastructures. By leveraging LEO satellites, this paradigm enables global, low-latency data processing for applications su...

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Autores principales: Fabio Diniz Rossi, Paulo Silas Severo de Souza, Marcelo Caggiani Luizelli
Formato: Artículo
Lenguaje:English
Publicado: IEEE 2025-01-01
Colección:IEEE Access
Materias:
Acceso en línea:https://ieeexplore.ieee.org/document/10909133/
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author Fabio Diniz Rossi
Paulo Silas Severo de Souza
Marcelo Caggiani Luizelli
author_facet Fabio Diniz Rossi
Paulo Silas Severo de Souza
Marcelo Caggiani Luizelli
author_sort Fabio Diniz Rossi
collection DOAJ
description Low Earth Orbit (LEO) Edge Computing integrates space technology with Edge Computing to enhance connectivity and reduce latency, addressing critical limitations of terrestrial infrastructures. By leveraging LEO satellites, this paradigm enables global, low-latency data processing for applications such as remote sensing, Earth observation, and worldwide communications. However, it also presents challenges in resource allocation, thermal management, and space debris mitigation. This paper provides a comprehensive taxonomy and in-depth survey on resource allocation strategies in LEO Edge environments, identifying key challenges and future research directions.
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spelling doaj.art-897c24bcad764f5d90b1f26d6e51df0c2025-03-10T23:01:15ZengIEEEIEEE Access2169-35362025-01-0113409924101010.1109/ACCESS.2025.354757110909133Resource Allocation on Low-Earth Orbit Edge Infrastructure: Taxonomy, Survey, and Research ChallengesFabio Diniz Rossi0https://orcid.org/0000-0002-2450-1024Paulo Silas Severo de Souza1Marcelo Caggiani Luizelli2https://orcid.org/0000-0003-0537-3052Computer Science Department, Federal University of Pampa, Alegrete, BrazilComputer Science Department, Federal University of Pampa, Alegrete, BrazilComputer Science Department, Federal University of Pampa, Alegrete, BrazilLow Earth Orbit (LEO) Edge Computing integrates space technology with Edge Computing to enhance connectivity and reduce latency, addressing critical limitations of terrestrial infrastructures. By leveraging LEO satellites, this paradigm enables global, low-latency data processing for applications such as remote sensing, Earth observation, and worldwide communications. However, it also presents challenges in resource allocation, thermal management, and space debris mitigation. This paper provides a comprehensive taxonomy and in-depth survey on resource allocation strategies in LEO Edge environments, identifying key challenges and future research directions.https://ieeexplore.ieee.org/document/10909133/Edge computingLEO edgelow-earth orbit satellitesresource allocationsatellite constellation
spellingShingle Fabio Diniz Rossi
Paulo Silas Severo de Souza
Marcelo Caggiani Luizelli
Resource Allocation on Low-Earth Orbit Edge Infrastructure: Taxonomy, Survey, and Research Challenges
IEEE Access
Edge computing
LEO edge
low-earth orbit satellites
resource allocation
satellite constellation
title Resource Allocation on Low-Earth Orbit Edge Infrastructure: Taxonomy, Survey, and Research Challenges
title_full Resource Allocation on Low-Earth Orbit Edge Infrastructure: Taxonomy, Survey, and Research Challenges
title_fullStr Resource Allocation on Low-Earth Orbit Edge Infrastructure: Taxonomy, Survey, and Research Challenges
title_full_unstemmed Resource Allocation on Low-Earth Orbit Edge Infrastructure: Taxonomy, Survey, and Research Challenges
title_short Resource Allocation on Low-Earth Orbit Edge Infrastructure: Taxonomy, Survey, and Research Challenges
title_sort resource allocation on low earth orbit edge infrastructure taxonomy survey and research challenges
topic Edge computing
LEO edge
low-earth orbit satellites
resource allocation
satellite constellation
url https://ieeexplore.ieee.org/document/10909133/
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AT marcelocaggianiluizelli resourceallocationonlowearthorbitedgeinfrastructuretaxonomysurveyandresearchchallenges