From Model-Driven Design to Resource Management for Distributed Embedded Systems: Ifip Tc 10 Working Conference on Distributed and Parallel Embedded S

ISBN-13: 9781441942654 / Angielski / Miękka / 2010 / 274 str.

Bernd Kleinjohann; Lisa Kleinjohann; Ricardo J. Machado

Opis

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.

Spis treści

Design Challenges in Multiprocessor Systems-on-Chip.- Some Issues in Model-Based Development for Embedded Control Systems.- MDE Benefits for Distributed, Real Time and Embedded Systems.- Reifying the Semantic Domains of Component Contracts.- Model-Based Test Selection for Infinite State Reactive Systems.- Continuous Engineering of Embedded systems.- Prototyping an Ambient Light System - A Case Study.- The Paderkicker Team: Autonomy in Realtime Environments.- Modular Compilation of Synchronous Programs.- Trends in Timing Analysis.- Traffic Scheduling Anomalies in Temporal Partitions.- Pulsed Data Streams.- From Time-Triggered to Time-Deterministic Real-Time Systems.- Lazy Scheduling for Energy Harvesting Sensor Nodes.- Transient Processor/Bus Fault Tolerance for Embedded Systems.- Distributed Timed Multitasking - A Model of Computation for Hard Real-Time Distributed Systems.- Iterative Refinement Approach for QOS-Aware Service Configuration.- A Fast and Efficient Isomorphic Task Allocation Scheme for K-Ary N-Cube Systems.- Communication-Aware Component Allocation Algorithm for a Hybrid Architecture.- Multi-Objective Design Space Exploration of Embedded System Platforms.- Dynamic Memory Management for Embedded Real-Time Systems.- Reliability-Aware Power Management of Multi-Core Processors.- Evaluating Energy-Aware Task Allocation Strategies for MPSOCS.- Integration of Energy Reduction into High-Level Synthesis by Partitioning.- A Demonstration Case on the Transformation of Software Architectures for Service Specification.- Model-Based Analysis of a Windmill Communication System.- Pre-Runtime Scheduling Considering Timing and Energy Constraints in Embedded Systems with Multiple Processors.- A Hierarchical Approach for Power Management on Mobile Embedded Systems.

Blurb

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.