Dargie (Technical U. of Dresden, Germany) presents a collection of nine chapters bringing together the two research issues of context-aware computing and the self-managing aspect of autonomous computing. Written by 35 international academics and researchers, the papers investigate the various roles context-aware computing can play to develop self-managing systems, where a self-management system can be a device, a middleware, an application, or a network. Coverage includes a basic definition of context-awareness, basic aspects of self-managing systems, how a context can be employed to make systems smart, how a context can be captured and represented, how dynamic binding of context sources can be possible, the need for "implicit-knowledge" to develop fault-tolerant and self-protective systems, and a higher-level vision of future large-scale networks. For students, researchers, and professionals in the fields of computer science, computer engineering, and computing. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)
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.
