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portada Context-Aware Computing and Self-Managing Systems (Chapman & Hall
Type
Physical Book
Publisher
Author
Language
English
Pages
408
Format
Paperback
ISBN13
9780367385842
Edition No.
1

Context-Aware Computing and Self-Managing Systems (Chapman & Hall

Dargie, Waltenegus: (Author) · Crc Pr Inc · Paperback

Context-Aware Computing and Self-Managing Systems (Chapman & Hall - Dargie, Waltenegus:

New Book Imported to Taiwan
Delivery: 06 Oct - 14 Oct Shipping: 13 to 14 business days.
NT$ 3,335
NT$ 3,335

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Synopsis "Context-Aware Computing and Self-Managing Systems (Chapman & Hall "

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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