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Author Lalanda, Philippe.

Title Autonomic computing : principles, design and implementation / Philippe Lalanda, Julie A. McCann, Ada Diaconescu.

Imprint London ; New York : Springer, 2013.


Location Call No. OPAC Message Status
 Axe Books 24x7 IT E-Book  Electronic Book    ---  Available
Description 1 online resource.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Series Undergraduate topics in computer science, 1863-7310
Undergraduate topics in computer science.
Bibliography Includes bibliographical references and index.
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 Autonomic computing is changing the way software systems are being developed, introducing the goal of self-managed computing systems with minimal need for human input. This easy-to-follow, classroom-tested textbook/reference 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; thus reinforcing the concepts of autonomic computing and self-management. Topics and 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 autonomic computing systems Reviews the most relevant sources of inspiration for autonomic computing, with pointers towards more extensive specialty literature Ideal for a 10-week lecture programme This concise primer and practical guide will be of great use to students, researchers and practitioners alike, demonstrating how to better architect robust yet flexible software systems capable of meeting the computing demands for today and in the future.
Language English.
Subject Autonomic computing.
Software engineering.
Autonomic computing. (OCoLC)fst01200350
Software engineering. (OCoLC)fst01124185
Computer Science.
Software Engineering/Programming and Operating Systems.
Artificial Intelligence (incl. Robotics).
System Performance and Evaluation.
Indexed Term Computer science.
Computer system performance.
Software engineering.
Artificial intelligence.
System Performance and Evaluation.
Genre/Form Electronic books.
Added Author McCann, Julie A.
Diaconescu, Ada.
Other Form: Printed edition: 9781447150060
ISBN 9781447150077 (electronic bk.)
1447150074 (electronic bk.)
Standard No. 10.1007/978-1-4471-5007-7 doi
AU@ 000052282533
AU@ 000058377849
DKDLA 820120-katalog:000660876
NLGGC 362940398
NZ1 15026623
NZ1 15743366

Available items only