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008			161214s2017 sz a ob 001 0 eng d
020			_a3319473077 _q(electronic bk.)
020			_a9783319473079 _q(electronic bk.)
020			_z3319473069
020			_z9783319473062
035			_a(OCoLC)966257110 _z(OCoLC)965904198 _z(OCoLC)966572136 _z(OCoLC)967829325 _z(OCoLC)971048557 _z(OCoLC)971091536 _z(OCoLC)974650374 _z(OCoLC)1005793592 _z(OCoLC)1011794891
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050		4	_aTK7895.E42 _bM634 2017 EB
245	0	0	_aModel-implementation fidelity in cyber physical system design _cAnca Molnos, Christian Fabre, editors.
264		1	_a[Cham, Switzerland] _bSpringer
264		4	_c2017
300			_a1 recurso en línea _bilustraciones
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
500			_aSpringerLink
504			_aIncluye referencias bibliográficas e índice
505	0		_aBuilding Faithful Embedded Systems Models: Challenges and Opportunities -- Resource-driven Modelling for Managing Model Fidelity -- Empowering Mixed-Criticality System Engineers in the Dark Silicon Era: Towards Power and Temperature Analysis of Heterogeneous MPSoCs at System-Level -- Throughput-Driven Parallel Embedded Software Synthesis from Synchronous Data-flow Models: Caveats and Remedies -- SimSoC: A Fast, Proven Faithful, Full System Virtual Prototyping Framework -- A Composable and Predictable MPSoC Design Flow for Multiple Real-Time Applications -- Analysis and Implementation of Embedded System Models: Example of Tags in Item Management Application -- Positioning System for Recreated Reality Applications based on high-performance Video-Processing.
520	3		_aThis book puts in focus various techniques for checking modeling fidelity of Cyber Physical Systems (CPS), with respect to the physical world they represent. The authors' present modeling and analysis techniques representing different communities, from very different angles, discuss their possible interactions, and discuss the commonalities and differences between their practices. Coverage includes model driven development, resource-driven development, statistical analysis, proofs of simulator implementation, compiler construction, power/temperature modeling of digital devices, high-level performance analysis, and code/device certification. Several industrial contexts are covered, including modeling of computing and communication, proof architectures models and statistical based validation techniques. Addresses CPS design problems such as cross-application interference, parsimonious modeling, and trustful code production Describes solutions, such as simulation for extra-functional properties, extension of coding techniques, model-driven development, resource driven modeling, and quantitative and qualitative verification, based on statistics and formal proofs Applies techniques to several CPS design challenges, such as mixed criticality, communication protocols, and computing platform simulation.
988			_aEBOOK, EBSPRINGER_2017B
650		7	_aSistemas embebidos _2embne _9667201
700	1		_aFabre, Christian, _eeditor literario
700	1		_aMolnos, Anca, _eeditor literario
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-47307-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2018 _dz _e- _zSI