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...
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| Format: | Electronic Book Chapter |
| Language: | English |
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InTechOpen
2018
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| Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| 100 | 1 | |a Becedas, J. |4 auth | |
| 700 | 1 | |a González, D. |4 auth | |
| 700 | 1 | |a del Mar Núñez, María |4 auth | |
| 245 | 1 | 0 | |a Chapter Optimization of an Earth Observation Data Processing and Distribution System |
| 260 | |b InTechOpen |c 2018 | ||
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| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/3.0/ |2 cc |4 https://creativecommons.org/licenses/by/3.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Geographical information systems (GIS) & remote sensing |2 bicssc | |
| 653 | |a Earth Observation, distributed systems, cloud computing, ENTICE project, gs4EO | ||
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| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/handle/20.500.12657/49249 |7 0 |z OAPEN Library: description of the publication |