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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.

Embedded computer systems --- Electronic data processing --- Parallel processing (Electronic computers) --- Systèmes enfouis (Informatique) --- Traitement réparti --- Parallélisme (Informatique) --- Congresses --- Distributed processing --- Congrès --- Electronic data processing -- Distributed processing -- Congresses. --- Embedded computer systems -- Congresses. --- Parallel processing (Electronic computers) -- Congresses. --- Computer Science --- Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Computer science. --- Computer organization. --- Computer communication systems. --- Computer system failures. --- Architecture, Computer. --- Computer Science. --- Computer Communication Networks. --- Computer System Implementation. --- System Performance and Evaluation. --- Computer Systems Organization and Communication Networks. --- Computer network architectures. --- Computer system performance. --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Organization, Computer --- Electronic digital computers --- Computer failures --- Computer malfunctions --- Computer systems --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Architecture, Computer --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Failures --- Computer networks. --- Computer systems. --- Computer engineering. --- Computer Engineering and Networks. --- Evaluation. --- Computers --- ADP systems (Computer systems) --- Computing systems --- Systems, Computer --- Design and construction

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The IFIP TC-10 Working Conference on Distributed and Parallel Embedded Systems (DIPES 2004) brings together experts from industry and academia to discuss recent developments in this important and growing field in the splendid city of Toulouse, France. The ever decreasing price/performance ratio of microcontrollers makes it economically attractive to replace more and more conventional mechanical or electronic control systems within many products by embedded real-time computer systems. An embedded real-time computer system is always part of a well-specified larger system, which we call an intelligent product. Although most intelligent products start out as stand-alone units, many of them are required to interact with other systems at a later stage. At present, many industries are in the middle of this transition from stand-alone products to networked embedded systems. This transition requires reflection and architecting: The complexity of the evolving distributed artifact can only be controlled, if careful planning and principled design methods replace the - hoc engineering of the first version of many standalone embedded products.

Embedded computer systems --- Electronic data processing --- Parallel processing (Electronic computers) --- Distributed processing --- Artificial intelligence. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers