Springer Model-Implementation Fidelity in Cyber Physical System Design

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. From the Back Cover 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 About the Author Anca Molnos received her M.Sc. degree in computer science from the “Politehnica” University of Bucharest, Romania and the Ph.D. degree in computer engineering from the Delft University of Technology, The Netherlands, in 2001 and 2009, respectively. Between 2006 and 2009 she was senior scientist at NXP Semiconductors, The Netherlands, working on low-power multi-processors and distributed real-time systems. From 2009 to 2012 she was a researcher with the Delft University of Technology, working on embedded multi-core resource management for low-power and quality of service. In January 2013 she joined CEA LETI, where her research focuses on developing energy-aware software, energy and variability management, and frameworks for adaptable parallel systems. During the years, she (co-)authored more than 40 papers in journals and international conferences and several patents. She serves or served in many program committees, among which ICCD, ICCAD, RTCSA, ICPADS, as well as participated in the organization of several conferences and workshops as program committee chair, or other chair positions. Christian Fabre received his Engineering degree from École nationale supérieure de mathématiques appliquées de Grenoble (ENSIMAG), France, in 1990 while working on a Transputer routing kernel. He joined the OPEN SOFTWARE FOUNDATION Research Institute in 1993 to work on ANDF, an intermediate language. Later he worked on Java Virtual Machines, Java compilation and embedded sotware components. He shared the “Best Embedded Java Product” with other members of the OSF-RI TurboJava team at JavaOne in 2000. After the acquisition of the OSF-RI by Groupe SILICOMP (now ORANGE Business Services) he was part of the corporate SILICOMP R&D team. Since 2004 he has transition