Context-Aware Computing and Self-Managing Systems

Context-Aware Computing and Self-Managing Systems
Author :
Publisher : CRC Press
Total Pages : 405
Release :
ISBN-10 : 1420077724
ISBN-13 : 9781420077728
Rating : 4/5 (728 Downloads)

Book Synopsis Context-Aware Computing and Self-Managing Systems by : Waltenegus Dargie

Download or read book Context-Aware Computing and Self-Managing Systems written by Waltenegus Dargie and published by CRC Press. This book was released on 2009-03-25 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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