Dargie Context-Aware Computing and Self-Managing Systems

1. Auflage 2010
ISBN: 978-1-4200-7772-8
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 405 Seiten

Reihe: Chapman & Hall/CRC Studies in Informatics Series

Bringing together an extensively researched area with an emerging research issue, Context-Aware Computing and Self-Managing Systems presents the core contributions of context-aware computing in the development of self-managing systems, including devices, applications, middleware, and networks. The expert contributors reveal the usefulness of context-aware computing in developing autonomous systems that have practical application in the real world.

The first chapter of the book identifies features that are common to both context-aware computing and autonomous computing. It offers a basic definition of context-awareness, covers fundamental aspects of self-managing systems, and provides several examples of context information and self-managing systems. Subsequent chapters on context-awareness demonstrate how a context can be employed to make systems smart, how a context can be captured and represented, and how dynamic binding of context sources can be possible. The chapters on self-management illustrate the need for "implicit knowledge" to develop fault-tolerant and self-protective systems. They also present a higher-level vision of future large-scale networks.

Through various examples, this book shows how context-aware computing can be used in many self-managing systems. It enables researchers of context-aware computing to identify potential applications in the area of autonomous computing. The text also supports researchers of autonomous computing in defining, modeling, and capturing dynamic aspects of self-managing systems.

Zielgruppe

Researchers in context-aware, pervasive, and ubiquitous computing. researchers in human-computer interaction.

Autoren/Hrsg.

Dargie, Waltenegus

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

The Role of Context-Aware Computing in Developing Self-Managing Systems
Waltenegus Dargie
Introduction
Aspects of Self-Management
Examples of Self-Managing Systems
Context-Aware Computing
Context-Aware, Self-Managing Systems
Organization of the Book

Verifying Nursing Activities Based on Workflow Model
Noriaki Kuwahara, Naoki Ohboshi, Hiromi Itoh Ozaku, Futoshi Naya, Akinori Abe, and Kiyoshi Kogure
Introduction
Related Works
Overview of Research Goals
Case Study of Intravenous Medication Process Performed by Nurses
Prototype of Ubiquitous Sensor Network System
Algorithm for Detecting Errors in Nursing Activities
Testing Our Proposed Algorithm
Conclusion and Future Works

A Taxonomy of Service Discovery Systems
Vasughi Sundramoorthy, Pieter Hartel, and Hans Scholten
Introduction
Service Discovery: Third Generation Name Discovery
Service Discovery Architecture
Service Discovery Functions
Operational Aspects of Service Discovery
State of the Art
Taxonomy of State of the Art
Conclusion

Managing Distributed and Heterogeneous Context for Ambient Intelligence
José Viterbo, Markus Endler, Karin Breitman, Laurent Mazuel, Yasmine Charif, Nicolas Sabouret, Amal El Fallah Seghrouchni, and Jean-Pierre Briot
Introduction
Fundamental Concepts
Ontological Representation and Reasoning about Context
Approaches for Ontology Alignment
The Campus Approach
Conclusion and Open Problems

Dynamic Content Negotiation in Web Environments
Xavier Sanchez-Loro, Jordi Casademont, Jose Luis Ferrer, Victoria Beltran, Marisa Catalan and Josep Paradells
Introduction
Ubiquitous Web
A Proxy-Based Solution for the Detection of Device Capabilities
Collaborative Optimization, Context Acquisition, and Provisioning: Dynamic Content Negotiation over Cellular Links
Conclusion
The Road toward Self-Management in Communication Networks
Ralf Wolter and Bruno Klauser
Introduction
Self-Management in Networks
Defining Concrete Steps toward the Vision
Research Outlook

Policy-Based Self-Management in Wireless Networks
Antonis M. Hadjiantonis and George Pavlou
Introduction, Background, and State of the Art
Policies and Context for Self-Management
Closing the Loop: A Framework for the Self-Management of Wireless Networks
Implementation and Evaluation of Self-Management Capabilities
Conclusions and the Future of Self-Management

Autonomous Machine Learning Networks
Lei Liu
Introduction
Problem Formulation
Related Work
Methodology
Evaluation
Experiment
Conclusions

Probabilistic Fault Management
Jianguo Ding, Pascal Bouvry, Bernd J. Kramer, Haibing Guan, Alei Liang, and Franco Davoli
Introduction
Probabilistic Inference in Fault Management
Prediction Strategies for Fault Management in Dynamic Networks
Application Investigation on Probabilistic Fault Management
Conclusions
References appear at the end of each chapter.