Model-implementation fidelity in cyber physical system design / Anca Molnos, Christian Fabre, editors.
Contributor(s): Fabre, Christian,, editor literario | Molnos, Anca,, editor literario
Material type:
E-bookPublisher: [Cham, Switzerland] : SpringerCopyright date: 2017Description: 1 recurso en línea : ilustraciones.ISBN: 3319473077; 9783319473079.Subject: Sistemas embebidos
Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK7895.E42 M634 2017 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.20022643 |
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Incluye referencias bibliográficas e índice
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.
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