Autonomic computing : principles, design and implementation / Philippe Lalanda.

By:

Lalanda, Philippe [author.]

Material type: Text

TextSeries: Undergraduate topics in computer sciencePublisher: New York : Springer, 2013Description: xi, 288 pages : illustartions; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781447150060

Subject(s):

DDC classification:

23 004 L.P.A

Online resources:

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.

Summary: 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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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Main library A1	Computers & Information Technology ( Computer Science )	004 L.P.A (Browse shelf(Opens below))	Available		00011563

computer bookfair2015

Includes bibliographical references and index.

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.

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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