Autonomic Computing
Principles, Design and Implementation. Supported by a downloadable learning environment and source code
(Sprache: Englisch)
This book provides a comprehensive introduction to autonomic computing from a software engineering perspective, supported by a downloadable learning environment and source code, which allows students to develop, execute and test autonomic applications.
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Produktinformationen zu „Autonomic Computing “
This book provides a comprehensive introduction to autonomic computing from a software engineering perspective, supported by a downloadable learning environment and source code, which allows students to develop, execute and test autonomic applications.
Klappentext zu „Autonomic Computing “
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.
Inhaltsverzeichnis zu „Autonomic Computing “
Software Engineering to Autonomic ComputingAutonomic 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
Autoren-Porträt von Philippe Lalanda, Julie A. McCann, Ada Diaconescu
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.
Bibliographische Angaben
- Autoren: Philippe Lalanda , Julie A. McCann , Ada Diaconescu
- 2013, 2013, XV, 288 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1447150066
- ISBN-13: 9781447150060
Sprache:
Englisch
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