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Autonomic Computing: Principles, Design and Implementation (Undergraduate Topics in Computer Science)
Philippe Lalanda; Julie A. Mccann; Ada Diaconescu (Author)
·
Springer
· Paperback
Autonomic Computing: Principles, Design and Implementation (Undergraduate Topics in Computer Science) - Philippe Lalanda; Julie A. Mccann; Ada Diaconescu
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Synopsis "Autonomic Computing: Principles, Design and Implementation (Undergraduate Topics in Computer Science)"
This textbook provides a practical perspective on autonomic computing. Through the combined use of examples and hands-on projects, the book enables the reader to rapidly gain an understanding of the theories, models, design principles and challenges of this subject while building upon their current knowledge. Features: provides a structured and comprehensive introduction to autonomic computing with a software engineering perspective; supported by a downloadable learning environment and source code that allows students to develop, execute, and test autonomic applications at an associated website; presents the latest information on techniques implementing self-monitoring, self-knowledge, decision-making and self-adaptation; discusses the challenges to evaluating an autonomic system, aiding the reader in designing tests and metrics that can be used to compare systems; reviews the most relevant sources of inspiration for autonomic computing, with pointers towards more extensive specialty literature.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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