Atjaunināt sīkdatņu piekrišanu

Distributed Embedded Systems: Design, Middleware and Resources: IFIP 20th World Computer Congress, TC10 Working Conference on Distributed and Parallel Embedded Systems (DIPES 2008), September 7-10, 2008, Milano, Italy 2008 ed. [Hardback]

Edited by , Edited by , Edited by
Citas grāmatas par šo tēmu:
  • Hardback
  • Cena: 91,53 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 107,69 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
Citas grāmatas par šo tēmu:
This year, the IFIP Working Conference on Distributed and Parallel Embedded Sys tems (DIPES 2008) is held as part of the IFIP World Computer Congress, held in Milan on September 7 10, 2008. The embedded systems world has a great deal of experience with parallel and distributed computing. Many embedded computing systems require the high performance that can be delivered by parallel computing. Parallel and distributed computing are often the only ways to deliver adequate real time performance at low power levels. This years conference attracted 30 submissions, of which 21 were accepted. Prof. Jor Ø g Henkel of the University of Karlsruhe graciously contributed a keynote address on embedded computing and reliability. We would like to thank all of the program committee members for their diligence. Wayne Wolf, Bernd Kleinjohann, and Lisa Kleinjohann Acknowledgements We would like to thank all people involved in the organization of the IFIP World Computer Congress 2008, especially the IPC Co Chairs Judith Bishop and Ivo De Lotto, the Organization Chair Giulio Occhini, as well as the Publications Chair John Impagliazzo. Further thanks go to the authors for their valuable contributions to DIPES 2008. Last but not least we would like to acknowledge the considerable amount of work and enthusiasm spent by our colleague Claudius Stern in preparing theproceedingsofDIPES2008. Hemadeitpossibletoproducethemintheircurrent professional and homogeneous style.
Hierarchically Distributing Embedded Systems for Improved Autonomy.-
Sorting Units for FPGA-Based Embedded Systems.- Error-Exploiting Video
Encoder to Extend Energy/QoS Tradeoffs for Mobile Embedded Systems.-
Specification-based Verification of Embedded Systems by Automated Test Case
Generation.- Analysis of Periodic Clock Relations in Polychronous Systems.-
Formal Correctness of an Automotive Bus Controller Implementation at
Gate-Level.- Unifying HW Analysis and SoC Design Flows by Bridging Two Key
Standards: UML and IP-XACT.- Expressing Environment Assumptions and Real-time
Requirements for a Distributed Embedded System with Shared Variables.- The
Components Data Flow Machine: An Intermediate Modeling Format to Support the
Design of Automobiles E/E Systems Architectures.- On the Use of Software
Quality Metrics to Improve Physical Properties of Embedded Systems.-
Minimizing Leakage Energy with Modulo Scheduling for VLIW DSP Processors.-
Using Imprecise Computation Techniques for Power Management in Real-Time
Embedded Systems.- A Power Model for Register-Sharing Structures.- Design and
Implementation of a FTT-CAN Communication Infra-Structure for the
RT-femtoJava Processor.- Communication Paradigms for High-Integrity
Distributed Systems with Hard Real-Time Requirements.- TinyOS Extensions for
a Wireless Sensor Network Node Based on a Dynamically Reconfigurable
Processor.- Scheduling Dependent Distributable Real-Time Threads in Dynamic
Networked Embedded Systems.- An Efficient Time Annotation Technique in
Abstract RTOS Simulations for Multiprocessor Task Migration.- Handling QoS
Dependencies in Distributed Cooperative Real-Time Systems.- Topology-Aware
Energy Efficient Task Assignment for Collaborative In-Network Processing in
Distributed Sensor Systems.- Data Partitioning Techniques for Partially
Protected Caches to Reduce Soft Error Induced Failures.