Description
Book SynopsisBringing 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
Table of Contents
The Role of Context-Aware Computing in Developing Self-Managing Systems. Verifying Nursing Activities Based on Workflow Model. A Taxonomy of Service Discovery Systems. Managing Distributed and Heterogeneous Context for Ambient Intelligence. Dynamic Content Negotiation in Web Environments. The Road toward Self-Management in Communication Networks. Policy-Based Self-Management in Wireless Networks. Autonomous Machine Learning Networks. Probabilistic Fault Management.
