Autonomic Computing: Principles, Design and Implementation

Autonomic Computing: Principles, Design and Implementation


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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.

Product Details

ISBN-13: 9781447150060
Publisher: Springer London
Publication date: 05/14/2013
Series: Undergraduate Topics in Computer Science
Edition description: 2013
Pages: 288
Product dimensions: 6.00(w) x 9.00(h) x 0.90(d)

About the Author

Dr. Philippe Lalanda is a professor of software engineering at the Joseph Fourier University, Grenoble, France.

Dr. Julie A. McCann is a Reader in Computer Systems at Imperial College London, UK.

Dr. Ada Diaconescu is a lecturer (maître de conférences) in the Department of Computing and Networks at Télécom ParisTech, France.

Table of Contents

Software Engineering to Autonomic Computing

Autonomic Systems

Sources of Inspiration for Autonomic Computing

Autonomic Computing Architectures

The Monitoring Function

The Adaptation Function

The Decision Function

Evaluation Issues

Autonomic Mediation in Cilia

Future of Autonomic Computing and Conclusions

Learning Environment

Customer Reviews