Hinchey / Kleinjohann / Lindsay Distributed, Parallel and Biologically Inspired Systems

7th IFIP TC 10 Working Conference, DIPES 2010, and 3rd IFIP TC 10 International Conference, BICC 2010, Held as Part of WCC 2010, Brisbane, Australia, September 20-23, 2010, Proceedings
Erscheinungsjahr 2010
ISBN: 978-3-642-15234-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 329, 297 Seiten, eBook

Reihe: IFIP Advances in Information and Communication Technology

st This volume contains the proceedings of two conferences held as part of the 21 IFIP World Computer Congress in Brisbane, Australia, 20–23 September 2010. th The first part of the book presents the proceedings of DIPES 2010, the 7 IFIP Conference on Distributed and Parallel Embedded Systems. The conference, int- duced in a separate preface by the Chairs, covers a range of topics from specification and design of embedded systems through to dependability and fault tolerance. rd The second part of the book contains the proceedings of BICC 2010, the 3 IFIP Conference on Biologically-Inspired Collaborative Computing. The conference is concerned with emerging techniques from research areas such as organic computing, autonomic computing and self-adaptive systems, where inspiraton for techniques - rives from exhibited behaviour in nature and biology. Such techniques require the use of research developed by the DIPES community in supporting collaboration over multiple systems. We hope that the combination of the two proceedings will add value for the reader and advance our related work.

Zielgruppe

Research

Autoren/Hrsg.

Hinchey, Mike

Kleinjohann, Bernd

Kleinjohann, Lisa

Lindsay, Peter

Rammig, Franz J.

Timmis, Jon

Wolf, Marilyn

Inhaltsverzeichnis

Distributed and Parallel Embedded Systems (DIPES 2010).- Preface.- Opening and Keynote.- Safety, Efficiency and Autonomy - Mastering Conflicting Trends in Embedded Systems Design.- Specification and Modeling.- Rialto 2.0: A Language for Heterogeneous Computations.- Scenario-Based Modeling in Industrial Information Systems.- An Entirely Model-Based Framework for Hardware Design and Simulation.- Extending the Standard Execution Model of UML for Real-Time Systems.- Fault Tolerance.- Task Migration for Fault-Tolerant FlexRay Networks.- Flexible and Dynamic Replication Control for Interdependent Distributed Real-Time Embedded Systems.- Verification and Validation.- Generation of Executable Testbenches from Natural Language Requirement Specifications for Embedded Real-Time Systems.- Model Checking of Concurrent Algorithms: From Java to C.- Integrate Online Model Checking into Distributed Reconfigurable System on Chip with Adaptable OS Services.- Efficient Mutation-Analysis Coverage for Constrained Random Verification.- Code-Generation, Simulation and Timing Analysis.- Generating VHDL Source Code from UML Models of Embedded Systems.- RACE: A Rapid, ArChitectural Simulation and Synthesis Framework for Embedded Processors.- A Mixed Level Simulation Environment for Stepwise RTOS Software Refinement.- Global Best-Case Response Time for Improving the Worst-Case Response Times in Distributed Real-Time Systems.- Distributed Architectures and Design Support.- Dependency-Driven Distribution of Synchronous Programs.- Distributed Resource-Aware Scheduling for Multi-core Architectures with SystemC.- Robust Partitioned Scheduling for Real-Time Multiprocessor Systems.- An Infrastructure for Flexible Runtime Reconfigurable Multi-microcontroller Systems.- Biologically-Inspired Collaborative Computing (BICC 2010).- Preface.- Ants and Adaptive Systems.- Model Checking the Ant Colony Optimisation.- Feature Selection for Classification Using an Ant System Approach.- Novelty-Aware Attack Recognition – Intrusion Detection with Organic Computing Techniques.- Evolutionary-Computation Based Risk Assessment of Aircraft Landing Sequencing Algorithms.- Learning Classifier Systems and Collaborative Systems.- A Collaborative Decision Support Model for Marine Safety and Security Operations.- Combining Software and Hardware LCS for Lightweight On-Chip Learning.- Collaborating and Learning Predators on a Pursuit Scenario.- SelSta - A Biologically Inspired Approach for Self-Stabilizing Humanoid Robot Walking.