國立虎尾科技大學 |

Model-implementation fidelity in cyber physical system design

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Model-implementation fidelity in cyber physical system design/ edited by Anca Molnos, Christian Fabre.
其他作者:	Molnos, Anca.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xii, 236 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Embedded computer systems - Design and construction. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-47307-9
ISBN:	9783319473079

Model-implementation fidelity in cyber physical system design
Model-implementation fidelity in cyber physical system design[electronic resource] /edited by Anca Molnos, Christian Fabre. - Cham :Springer International Publishing :2017. - xii, 236 p. :ill., digital ;24 cm.

Building 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.

This 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.

ISBN: 9783319473079

Standard No.: 10.1007/978-3-319-47307-9doiSubjects--Topical Terms:

596383
Embedded computer systems
--Design and construction.

LC Class. No.: TK7895.E42 / M634 2017

Dewey Class. No.: 004.21

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520 $a This 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.
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