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    Chapter Optimization of an Earth Observation Data Processing and Distribution System

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    Author(s)
    Becedas, J.
    González, D.
    del Mar Núñez, María
    Language
    English
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    Abstract
    Conventional Earth Observation Payload Data Ground Segments (PDGS) continuously receive variable requests for data processing and distribution. However, their architecture was conceived to be on the premises of satellite operators and, for instance, has intrinsic limitations to offer variable services. In the current chapter, we introduce cloud computing technology to be considered as an alternative to offer variable services. For that purpose, a cloud infrastructure based on OpenNebula and the PDGS used in the Deimos-2 mission was adapted with the objective of optimizing it using the ENTICE open source middleware. Preliminary results with a realistic satellite recording scenario are presented.
    URI
    https://library.oapen.org/handle/20.500.12657/49249
    Keywords
    Earth Observation, distributed systems, cloud computing, ENTICE project, gs4EO
    DOI
    10.5772/intechopen.71423
    Publisher
    InTechOpen
    Publisher website
    https://www.intechopen.com/
    Publication date and place
    2018
    Classification
    Geographical information systems, geodata and remote sensing
    Rights
    https://creativecommons.org/licenses/by/3.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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