Philippe Lalanda, Julie A. McCann, Ada Diaconescu

Autonomic Computing (eBook, PDF)

Principles, Design and Implementation

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer London
• Seitenzahl: 288
• Erscheinungstermin: 13. Mai 2013
• Englisch
• ISBN-13: 9781447150077
• Artikelnr.: 43800991

Autorenporträt

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.

Inhaltsangabe

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.