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From Model-Driven Design to Resource Management for Distributed Embedded Systems
From Model-Driven Design to Resource Management for Distributed Embedded Systems presents 16 original contributions and 12 invited papers presented at the Working Conference on Distributed and Parallel Embedded Systems - DIPES 2006, sponsored by the International Federation for Information Processing - IFIP. Coverage includes model-driven design, testing and evolution of embedded systems, timing analysis and predictability, scheduling, allocation, communication and resource management in distributed real-time systems.
System Level Design from HW/SW to Memory for Embedded Systems
This book constitutes the refereed proceedings of the 5th IFIP TC 10 International Embedded Systems Symposium, IESS 2015, held in Foz do Iguaçu, Brazil, in November 2015. The 18 full revised papers presented were carefully reviewed and selected from 25 submissions. The papers present a broad discussion on the design, analysis and verification of embedded and cyber-physical systems including design methodologies, verification, performance analysis, and real-time systems design. They are organized in the following topical sections: cyber-physical systems, system-level design; multi/many-core system design; memory system design; and embedded HW/SW design and applications.
Design and Analysis of Distributed Embedded Systems
Design and Analysis of Distributed Embedded Systems is organized similar to the conference. Chapters 1 and 2 deal with specification methods and their analysis while Chapter 6 concentrates on timing and performance analysis. Chapter 3 describes approaches to system verification at different levels of abstraction. Chapter 4 deals with fault tolerance and detection. Middleware and software reuse aspects are treated in Chapter 5. Chapters 7 and 8 concentrate on the distribution related topics such as partitioning, scheduling and communication. The book closes with a chapter on design methods and frameworks.
Analysis, Estimations, and Applications of Embedded Systems
This book constitutes the refereed proceedings of the 6th IFIP TC 10 International Embedded Systems Symposium, IESS 2019, which took place in Friedrichshafen, Germany, in September 2019. The 16 full papers and 4 short papers presented in this book were carefully reviewed and selected from 32 submissions. The papers were organized in topical sections on embedded real-time systems; estimations; architecture and applications; algorithms and System C; and analysis.
Distributed and Parallel Embedded Systems
Embedded systems are becoming one of the major driving forces in computer science. Furthermore, it is the impact of embedded information technology that dictates the pace in most engineering domains. Nearly all technical products above a certain level of complexity are not only controlled but increasingly even dominated by their embedded computer systems. Traditionally, such embedded control systems have been implemented in a monolithic, centralized way. Recently, distributed solutions are gaining increasing importance. In this approach, the control task is carried out by a number of controllers distributed over the entire system and connected by some interconnect network, like fieldbuses. S...
Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation
This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.
