57428.pdf

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 servic...

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Έκδοση: InTechOpen 2021
id oapen-20.500.12657-49249
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spelling oapen-20.500.12657-492492021-11-23T14:00:49Z Chapter Optimization of an Earth Observation Data Processing and Distribution System Becedas, J. González, D. del Mar Núñez, María Earth Observation, distributed systems, cloud computing, ENTICE project, gs4EO bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography::RGW Geographical information systems (GIS) & remote sensing 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. 2021-06-02T10:10:32Z 2021-06-02T10:10:32Z 2018 chapter ONIX_20210602_10.5772/intechopen.71423_363 https://library.oapen.org/handle/20.500.12657/49249 eng application/pdf n/a 57428.pdf InTechOpen 10.5772/intechopen.71423 10.5772/intechopen.71423 09f6769d-48ed-467d-b150-4cf2680656a1 H2020-ICT-2014-1 644179 open access
institution OAPEN
collection DSpace
language English
description 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.
title 57428.pdf
spellingShingle 57428.pdf
title_short 57428.pdf
title_full 57428.pdf
title_fullStr 57428.pdf
title_full_unstemmed 57428.pdf
title_sort 57428.pdf
publisher InTechOpen
publishDate 2021
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