000			02112naaaa2200289uu 4500
001			https://directory.doabooks.org/handle/20.500.12854/70646
020			_aintechopen.71423
024	7		_a10.5772/intechopen.71423 _cdoi
041	0		_aEnglish
042			_adc
072		7	_aRGW _2bicssc
100	1		_aBecedas, J. _4auth
700	1		_aGonzález, D. _4auth
700	1		_adel Mar Núñez, María _4auth
245	1	0	_aChapter Optimization of an Earth Observation Data Processing and Distribution System
260			_bInTechOpen _c2018
506	0		_aOpen Access _2star _fUnrestricted online access
520			_aConventional 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			_aCreative Commons _fhttps://creativecommons.org/licenses/by/3.0/ _2cc _4https://creativecommons.org/licenses/by/3.0/
546			_aEnglish
650		7	_aGeographical information systems (GIS) & remote sensing _2bicssc
653			_aEarth Observation, distributed systems, cloud computing, ENTICE project, gs4EO
773	1	0	_0OAPEN Library ID: ONIX_20210602_10.5772/intechopen.71423_363 _7nnaa
856	4	0	_awww.oapen.org _uhttps://library.oapen.org/bitstream/20.500.12657/49249/1/57428.pdf _70 _zDOAB: download the publication
856	4	0	_awww.oapen.org _uhttps://library.oapen.org/bitstream/20.500.12657/49249/1/57428.pdf _70 _zDOAB: download the publication
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/70646 _70 _zDOAB: description of the publication
999			_c38097 _d38097