Chapter Optimization of an Earth Observation Data Processing and Distribution System
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...
Сохранить в:
| Главные авторы: | , , |
|---|---|
| Формат: | Online |
| Язык: | английский |
| Опубликовано: |
InTechOpen
2021
|
| Предметы: | |
| Online-ссылка: | ONIX_20210602_10.5772/intechopen.71423_363 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|
| _version_ | 1869525873227464704 |
|---|---|
| author | Becedas, J. González, D. del Mar Núñez, María |
| author_browse | Becedas, J. González, D. del Mar Núñez, María |
| author_facet | Becedas, J. González, D. del Mar Núñez, María |
| author_sort | Becedas, J. |
| collection | Directory of Open Access Books |
| 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. |
| format | Online |
| id | doab-20.500.12854ir-70646 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | InTechOpen |
| publisherStr | InTechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-706462025-08-13T14:12:00Z 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 thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and 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. 2021-02-10T12:58:18Z 2021-06-02T10:10:32Z 2018 chapter ONIX_20210602_10.5772/intechopen.71423_363 https://library.oapen.org/handle/20.500.12657/49249 https://directory.doabooks.org/handle/20.500.12854/70646 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/49249/1/57428.pdf https://library.oapen.org/bitstream/20.500.12657/49249/1/57428.pdf https://library.oapen.org/bitstream/20.500.12657/49249/1/57428.pdf InTechOpen 10.5772/intechopen.71423 10.5772/intechopen.71423 035ecc65-6737-43cf-a13a-6bdf67ce01f4 open access |
| spellingShingle | Earth Observation, distributed systems, cloud computing, ENTICE project, gs4EO thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing Becedas, J. González, D. del Mar Núñez, María Chapter Optimization of an Earth Observation Data Processing and Distribution System |
| title | Chapter Optimization of an Earth Observation Data Processing and Distribution System |
| title_full | Chapter Optimization of an Earth Observation Data Processing and Distribution System |
| title_fullStr | Chapter Optimization of an Earth Observation Data Processing and Distribution System |
| title_full_unstemmed | Chapter Optimization of an Earth Observation Data Processing and Distribution System |
| title_short | Chapter Optimization of an Earth Observation Data Processing and Distribution System |
| title_sort | chapter optimization of an earth observation data processing and distribution system |
| topic | Earth Observation, distributed systems, cloud computing, ENTICE project, gs4EO thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing |
| topic_facet | Earth Observation, distributed systems, cloud computing, ENTICE project, gs4EO thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing |
| url | ONIX_20210602_10.5772/intechopen.71423_363 |
| work_keys_str_mv | AT becedasj chapteroptimizationofanearthobservationdataprocessinganddistributionsystem AT gonzalezd chapteroptimizationofanearthobservationdataprocessinganddistributionsystem AT delmarnunezmaria chapteroptimizationofanearthobservationdataprocessinganddistributionsystem |