000 04082nam a22005415i 4500
001 978-3-319-47307-9
003 DE-He213
005 20220801222608.0
007 cr nn 008mamaa
008 161209s2017 sz | s |||| 0|eng d
020 _a9783319473079
_9978-3-319-47307-9
024 7 _a10.1007/978-3-319-47307-9
_2doi
050 4 _aTK7867-7867.5
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
072 7 _aTJFC
_2thema
082 0 4 _a621.3815
_223
245 1 0 _aModel-Implementation Fidelity in Cyber Physical System Design
_h[electronic resource] /
_cedited by Anca Molnos, Christian Fabre.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXII, 236 p. 126 illus., 87 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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 _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.
650 0 _aElectronic circuits.
_919581
650 0 _aMicroprocessors.
_962304
650 0 _aComputer architecture.
_93513
650 0 _aElectronics.
_93425
650 1 4 _aElectronic Circuits and Systems.
_962305
650 2 4 _aProcessor Architectures.
_962306
650 2 4 _aElectronics and Microelectronics, Instrumentation.
_932249
700 1 _aMolnos, Anca.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_962307
700 1 _aFabre, Christian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_962308
710 2 _aSpringerLink (Online service)
_962309
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319473062
776 0 8 _iPrinted edition:
_z9783319473086
776 0 8 _iPrinted edition:
_z9783319837055
856 4 0 _uhttps://doi.org/10.1007/978-3-319-47307-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80944
_d80944