TY  - GEN
AU  - Becedas,J.
AU  - González,D.
AU  - del Mar Núñez,María
TI  - Chapter Optimization of an Earth Observation Data Processing and Distribution System
SN  - intechopen.71423
PY  - 2018///
PB  - InTechOpen
KW  - Geographical information systems (GIS) & remote sensing
KW  - bicssc
KW  - Earth Observation, distributed systems, cloud computing, ENTICE project, gs4EO
N1  - Open Access
N2  - 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
UR  - https://library.oapen.org/bitstream/20.500.12657/49249/1/57428.pdf
UR  - https://library.oapen.org/bitstream/20.500.12657/49249/1/57428.pdf
UR  - https://directory.doabooks.org/handle/20.500.12854/70646
ER  -