Architecture of Computing Systems -- ARCS 2014 de Erik Maehle

Architecture of Computing Systems -- ARCS 2014: Lecture Notes in Computer Science

Erik Maehle

Kay Römer

Wolfgang Karl

Eduardo Tovar

This book constitutes the proceedings of the 27th International Conference on Architecture of Computing Systems, ARCS 2014, held in Lübeck, Germany, in February 2014. The 20 papers presented in this volume were carefully reviewed and selected from 44 submissions. They are organized in topical sections named: parallelization: applications and methods; self-organization and trust; system design; system design and sensor systems; and virtualization: I/O, memory, cloud; dependability: safety, security, and reliability aspects.

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Cuprins

Resource-Aware Harris Corner Detection Based on Adaptive Pruning.- Victim Selection Policies for Intel TBB: Overheads and Energy Footprint.- Non-preemptive Scheduling of Real-Time Software TransactionalMemory.- Trust-Enhanced Self-configuration for Organic Computing Systems.- Estimation of Reward and Decision Making for Trust-Adaptive Agents in Normative Environments.- An Adaptive Personal Learning Environment Architecture.- Middleware for Dynamically Adaptive Systems.- Mahler: Sketch-Based Model-Driven Virtual Prototyping.- Formal Architecture Specification for Time Analysis.- Hardware APIs: A Software-Centric Approach for Automated Derivation of MPSoC Hardware Structures Based on Static Code Analysis.- uBuild: Automated Testing and Performance Evaluation of Embedded Linux Systems.- A Two-Tier Design Space Exploration Algorithm to Construct a GPU Performance Predictor.- A Sensor Network Architecture for Urban Traffic State Estimationwith Mixed Eulerian/Lagrangian Sensing Based on Distributed Computing.- From Smart Clothing to Smart Table Cloth: Design and Implementationof a Large Scale, Textile Pressure Matrix Sensor.- Performance Isolation Exposure in Virtualized Platforms with PCI Passthrough I/O Sharing.- 3D DRAM and PCMs in Processor Memory Hierarchy.- A Service-Oriented Architecture for Virtualizing Robots in Robot-as-a-Service Clouds.- Towards Code Safety with High Performance.- Detecting Compromised Programs for Embedded System Applications.- Independent Kernel/Process Checkpointing on Non-Volatile Main Memory for Quick Kernel Rejuvenation.