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Ajouter au panierEtat : New. Most current research on models, methods, tools and applications in the area of distributed embedded systemsFrom Model-Driven Design to Resource Management for Distributed Embedded Systems presents 16 original contributions and 12 invited papers pres.
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Ajouter au panierTaschenbuch. Etat : Neu. From Model-Driven Design to Resource Management for Distributed Embedded Systems | IFIP TC 10 Working Conference on Distributed and Parallel Embedded Systems (DIPES 2006) October 11-13, 2006, Braga, Portugal | Bernd Kleinjohann (u. a.) | Taschenbuch | xii | Englisch | 2010 | Humana | EAN 9781441942654 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Edité par Springer US, Springer US, 2010
ISBN 10 : 1441942653 ISBN 13 : 9781441942654
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Embedded computing systems have started to carry out the key control functions in diverse domains such as telecommunications, automotive electronics, avionics and even complete industrial manufacturing lines. Traditionally, such embedded control systems have been implemented in a monolithic, centralized manner. However, distributed and parallel solutions have been steadily gaining popularity. In a distributed setup, the control task is carried out by a number of controllers distributed over the entire system and interconnected as a network by communication components such as field buses. More demanding local control applications require controllers based on parallel architectures or processors with dedicated co-processors. Distribution and parallelism in embedded system design increase the engineering challenges and demand new development methods and tools.From Model-Driven Design to Resource Management for Distributed Embedded Systems contains 16 original contributions as well as 12 invited papers by distinguished invited speakers. These papers were presented at the Working Conference on Distributed and Parallel Embedded Systems (DIPES 2006), which was held in October 2006 in Braga, Portugal, and sponsored by the International Federation for Information Processing (IFIP).This volume covers the following very timely topics: model-driven design, test and evolution of embedded systems, timing analysis and predictability, scheduling, allocation, communication and resource management in distributed real-time systems.
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Ajouter au panierBuch. Etat : Neu. Neuware - Embedded computing systems have started to carry out the key control functions in diverse domains such as telecommunications, automotive electronics, avionics and even complete industrial manufacturing lines. Traditionally, such embedded control systems have been implemented in a monolithic, centralized manner. However, distributed and parallel solutions have been steadily gaining popularity. In a distributed setup, the control task is carried out by a number of controllers distributed over the entire system and interconnected as a network by communication components such as field buses. More demanding local control applications require controllers based on parallel architectures or processors with dedicated co-processors. Distribution and parallelism in embedded system design increase the engineering challenges and demand new development methods and tools.From Model-Driven Design to Resource Management for Distributed Embedded Systems contains 16 original contributions as well as 12 invited papers by distinguished invited speakers. These papers were presented at the Working Conference on Distributed and Parallel Embedded Systems (DIPES 2006), which was held in October 2006 in Braga, Portugal, and sponsored by the International Federation for Information Processing (IFIP).This volume covers the following very timely topics: model-driven design, test and evolution of embedded systems, timing analysis and predictability, scheduling, allocation, communication and resource management in distributed real-time systems.